Tag: Azure Container Registry

Implement and configure security controls for Azure Container Registry (SC-500 Exam Prep)

This post is a part of the "SC-500: Implementing End-to-End Security Controls for Cloud and AI Workloads" Exam Prep Hub.
This topic falls under these sections:
Secure compute (20–25%)
   --> Implement security for application platform services
      --> Implement and configure security controls for Azure Container Registry


Note that there are 10 practice questions (with answers) at the end of each section to help you solidify your knowledge of the material. Also, there are 4 practice tests with 30 questions each available from the hub's main page below the exam topics section.

Introduction

Azure Container Registry (ACR) is a managed private registry service for storing and managing container images and other OCI artifacts. Because container images are ultimately executed as workloads, protecting the registry is an important part of securing the container supply chain.

For the SC-500 exam, the key security areas to understand include:

  • Authentication and authorization
  • Azure RBAC and repository-level access
  • Managed identities
  • Network security
  • Private endpoints
  • Disabling unnecessary public access
  • Container image vulnerability assessment
  • Image signing and verification
  • Administrative account security
  • Azure Policy
  • Secure integration with AKS and other Azure services

ACR supports Docker images and other OCI-compatible content, and provides Azure-based identity and RBAC capabilities for controlling access.


1. Why Azure Container Registry Security Matters

A container registry is a critical component of the software supply chain.

Consider the following process:

Developer
|
v
Source Code
|
v
Container Build
|
v
Container Image
|
v
Azure Container Registry
|
v
AKS / Container Apps / Other Runtime

If an attacker compromises the registry, they may be able to:

  • Push malicious images.
  • Replace legitimate images.
  • Delete images.
  • Access proprietary application code contained in images.
  • Introduce vulnerable dependencies.
  • Distribute compromised images to production workloads.

Therefore, ACR security needs to protect both:

Who can access the registry

and

What content is allowed to move through the registry and into production.


2. ACR Authentication vs. Authorization

One of the most important concepts for the exam is the difference between authentication and authorization.

Authentication

Authentication answers:

Who are you?

ACR can authenticate users and applications through mechanisms including Microsoft Entra identities, service principals, managed identities, and other supported authentication methods.

Authorization

Authorization answers:

What are you allowed to do?

Azure RBAC determines what an authenticated identity can do with the registry and its contents.

For example:

Microsoft Entra identity
|
| Authentication
v
Azure Container Registry
|
| Authorization
v
AcrPull / AcrPush /
Repository Reader / Writer

This distinction is fundamental to understanding ACR security.


3. Use Microsoft Entra ID and Azure RBAC

For most enterprise scenarios, use Microsoft Entra-based authentication and Azure RBAC rather than sharing registry administrator credentials.

ACR provides built-in roles designed for common registry operations.

Important roles include:

RolePurpose
AcrPullPull artifacts from a registry
AcrPushPush and pull artifacts
AcrDeleteDelete repositories, tags, or manifests
AcrQuarantineReaderRead/pull quarantined artifacts
AcrQuarantineWriterManage quarantined artifacts

The important security principle is least privilege.

For example:

Production application
|
+---- AcrPull
|
+---- Cannot push
|
+---- Cannot delete

A deployment identity that only needs to retrieve images should not receive AcrPush merely because that role is convenient.

Microsoft’s current role documentation confirms that AcrPull provides pull access while AcrPush provides both push and pull access.


4. Repository-Level Access with Azure ABAC

A particularly important current ACR capability is Azure attribute-based access control (ABAC) for repository permissions.

Traditional registry-wide permissions can be too broad.

For example:

Developer A
|
+---- AcrPull
|
+---- frontend
+---- backend
+---- database
+---- internal-tools

Perhaps the developer should only be able to pull from:

frontend

ABAC can provide more granular repository-level authorization.

With an ABAC-enabled registry, roles such as:

  • Container Registry Repository Reader
  • Container Registry Repository Writer
  • Container Registry Repository Contributor

can be scoped using conditions to specific repositories or repository prefixes.

For example:

Developer A
|
+---- Repository Reader
|
+---- frontend/*

This follows the principle of least privilege much more closely than granting registry-wide access.

Current ACR documentation states that ABAC repository permissions can use conditions to scope permissions to individual repositories or repository prefixes.

Important exam consideration

When a registry uses RBAC + ABAC Repository Permissions, legacy roles such as AcrPull, AcrPush, and AcrDelete are not honored for repository data access in the same way. The corresponding ABAC-enabled repository roles should be used.

Therefore, do not automatically assume:

AcrPull is always the correct role for every ACR configuration.

First determine whether the registry uses traditional RBAC or RBAC + ABAC repository permissions.


5. Managed Identities

Applications and Azure services often need to pull images from ACR.

A common security mistake is to store a username and password or long-lived credential in application configuration.

A better approach is to use a managed identity where the consuming Azure service supports it.

Conceptually:

Azure Service
|
| Managed Identity
v
Microsoft Entra ID
|
| Authorized token
v
Azure Container Registry
|
v
Container Image

The identity can be assigned the minimum required ACR permissions.

For example, if a service only needs to pull images:

Managed Identity
|
+---- AcrPull

The identity does not need AcrPush.

Microsoft documents managed identity authentication for ACR specifically as a way to access private registries without placing credentials in application code.


6. Separate Push and Pull Permissions

A secure CI/CD architecture should separate responsibilities.

For example:

Build Pipeline
|
+---- Push
|
v
Azure Container Registry
|
+---- Pull
|
v
Production Environment

The build pipeline might require push permissions, while the production workload only requires pull permissions.

Giving the production workload push permissions unnecessarily increases the potential impact of a compromised workload.

Microsoft’s ACR best-practice guidance recommends assigning different identities appropriate permissions for different operations, such as push permissions for build pipelines and pull permissions for deployment identities.


7. Disable the ACR Administrator Account When It Isn’t Required

ACR provides an administrator account for scenarios where it is needed, but it should not normally be the preferred enterprise authentication mechanism.

The administrator account represents a powerful shared credential and does not provide the same identity-level governance as Microsoft Entra-based access.

For enterprise environments, consider disabling the administrator account and using Microsoft Entra identities and RBAC instead.

Azure provides built-in policy definitions that can audit or modify registries to disable the local administrator account.

Security principle

Prefer:

Individual/service identity
+
Azure RBAC
+
Least privilege

over:

Shared administrator credential

8. Anonymous Pull Access

ACR normally requires authentication to pull content.

ACR also supports anonymous pull access, which makes registry content available to unauthenticated clients.

This can be appropriate when intentionally distributing public container images.

However, it is generally inappropriate for private enterprise images.

If anonymous pull is enabled:

Unauthenticated client
|
v
Azure Container Registry
|
v
Publicly pullable images

This can expose proprietary images or data.

Microsoft notes that anonymous pull applies to all repositories in the registry, making this setting particularly important to evaluate carefully.

Exam rule

If the requirement is:

“Only authenticated identities should be able to pull images.”

Disable anonymous pull.


9. Network Security for Azure Container Registry

Identity security alone is not enough.

An organization can also restrict where network connections to ACR can originate.

Potential controls include:

  • Public network access restrictions
  • IP-based network rules
  • Virtual network integration/network rules where supported
  • Azure Private Link
  • Private endpoints

The security objective is to reduce unnecessary exposure.


10. Private Endpoints and Azure Private Link

For highly sensitive registries, organizations can use an ACR private endpoint.

Conceptually:

                    Azure VNet
                       |
              +--------+--------+
              |                 |
          AKS Cluster       Build System
              |                 |
              +--------+--------+
                       |
                 Private Endpoint
                       |
                       v
              Azure Container Registry

The registry can then be accessed using a private IP through the Azure virtual network.

This is particularly useful when:

  • Production workloads use private networking.
  • Public network access should be eliminated.
  • Registry access must remain inside controlled networks.
  • Data leakage risks need to be reduced.

Current Azure Policy definitions include controls for configuring ACR private endpoints and disabling public network access.


11. Public Network Access

An organization may choose to disable public network access to ACR.

This creates a stronger network boundary:

Internet
|
X
|
X---- Public ACR access disabled
|
Private Azure Network
|
v
Private Endpoint
|
v
ACR

This does not replace authentication and authorization.

Instead:

Network controls determine where the registry can be reached; identity controls determine who can use it.

Defense in depth uses both.


12. Trusted Azure Services

Network restrictions can sometimes interfere with Azure services that need to access a registry.

ACR supports a mechanism that allows selected trusted Azure services to access network-restricted registries in supported scenarios.

This is important when a registry has:

  • Private endpoints
  • IP restrictions
  • Other network restrictions

and a Microsoft service needs access to registry content.

For example, Microsoft Defender for Cloud may need to pull images to perform vulnerability assessment.

Microsoft documents a trusted-services mechanism for supported network-restricted ACR scenarios.

Exam consideration

If you restrict ACR networking and a Microsoft service can no longer perform an expected operation, determine whether that service requires a trusted-service exception or another supported connectivity configuration.


13. Encrypting ACR Data at Rest

ACR data is encrypted at rest by default using service-managed encryption.

For scenarios requiring greater control over encryption keys, supported ACR configurations can use customer-managed keys (CMKs).

Conceptually:

Azure Container Registry
|
| Encryption at rest
v
Customer-managed key
|
v
Azure Key Vault

Customer-managed keys can be useful for organizations with:

  • Regulatory requirements
  • Key-management requirements
  • Internal encryption policies
  • Requirements for customer control over the encryption key lifecycle

Azure Policy includes built-in controls that can audit or deny registries that do not use customer-managed keys where required.


14. Container Image Vulnerability Assessment

A container image can contain vulnerabilities even when the application itself was developed securely.

For example:

Application
|
+-- Vulnerable operating-system package
|
+-- Vulnerable library
|
+-- Outdated framework
|
+-- Known CVE

Microsoft Defender for Cloud can scan ACR images for known vulnerabilities.

When vulnerabilities are found, Defender for Cloud can provide recommendations for remediation.

After an image is replaced with a remediated version, Defender can rescan the image.


15. Vulnerability Scanning vs. Image Signing

These concepts are easy to confuse.

Vulnerability scanning asks:

Does this image contain known security vulnerabilities?

Image signing asks:

Can I verify that this image came from a trusted publisher and has not been altered?

These address different risks.

Security questionControl
Does the image contain known CVEs?Vulnerability assessment
Who published the image?Image signing
Has the signed artifact been modified?Signature verification
Should this image be allowed into production?Policy/admission controls

A mature container security architecture can use both.


16. Image Signing and Supply Chain Security

Container images are part of the software supply chain.

An attacker could attempt to:

  1. Compromise a build system.
  2. Modify an image.
  3. Push the modified image.
  4. Deploy the malicious image into production.

Image signing helps establish:

  • Authenticity — the artifact came from a trusted publisher.
  • Integrity — the artifact has not been altered since signing.

Current Azure guidance uses Notation, based on the Notary Project, for signing and verifying OCI artifacts. A signature can be verified before an artifact is consumed or deployed.


17. Notation and Artifact Signing

A current approach is:

Build Image
|
v
Azure Container Registry
|
v
Sign Image
|
v
Deploy
|
v
Verify Signature
|
+---- Valid -----> Allow
|
+---- Invalid ---> Block

Azure Artifact Signing can be used with Notation to sign container images.

Azure Key Vault can also participate in certificate-based signing scenarios.

Microsoft’s current guidance identifies Artifact Signing as an alternative to using Azure Key Vault for the signing service, with Artifact Signing providing managed certificate lifecycle capabilities.


18. Verifying Images Before AKS Deployment

Image signing becomes particularly powerful when combined with AKS policy enforcement.

A security architecture can require:

Only container images with valid signatures from trusted publishers may run.

Conceptually:

Developer
|
v
Signed Image
|
v
ACR
|
v
AKS Deployment
|
v
Signature Verification
|
+---- Trusted -----> Run
|
+---- Untrusted ---> Reject

Microsoft’s current ACR signing guidance describes using Notation, Ratify, and Azure Policy to verify image signatures for AKS deployments.


19. Azure Policy for ACR

Azure Policy can be used to establish organizational security requirements for container registries.

Examples of policy requirements include:

  • Disable anonymous authentication.
  • Disable the ACR administrator account.
  • Disable public network access.
  • Require private endpoints.
  • Require customer-managed keys.
  • Require vulnerability remediation.
  • Disable repository-scoped access tokens where organizational policy requires it.
  • Disable certain authentication mechanisms.

Current built-in ACR policy definitions include controls for these areas.

This allows organizations to move from:

Security recommendation

to:

Governance rule

and, where appropriate:

Preventive enforcement

20. ACR Security and AKS

ACR and AKS are commonly used together.

A secure architecture might look like this:

                 Developer
                     |
                     v
                Build Pipeline
                     |
               Push Image
                     |
                     v
          +----------------------+
          | Azure Container      |
          | Registry             |
          |                      |
          | RBAC / ABAC          |
          | Private Endpoint     |
          | Vulnerability Scan   |
          | Image Signing        |
          +----------+-----------+
                     |
                     | Pull
                     v
              +-------------+
              |     AKS     |
              |             |
              | Azure Policy|
              | Ratify      |
              +-------------+
                     |
                     v
              Running Pods

Each component addresses a different security concern.


21. ACR Security for CI/CD Pipelines

CI/CD pipelines require special attention because they frequently have elevated registry permissions.

A common secure design is:

Developer
|
v
Source Repository
|
v
CI Pipeline
|
| Push permission
v
ACR
|
| Pull permission
v
CD / AKS

The CI identity might have:

Push + Pull

while the production workload has:

Pull only

This prevents a compromised production workload from automatically obtaining the ability to modify images.


22. Avoid Secrets in Container Images

Never embed registry credentials inside a container image.

For example, avoid:

Dockerfile
|
+-- USERNAME=...
+-- PASSWORD=...

Why?

Because anyone who can obtain the image may potentially extract those values.

Instead, use:

  • Microsoft Entra authentication
  • Managed identities
  • Workload identities
  • Key Vault
  • Secure CI/CD authentication mechanisms

The principle is:

Credentials should be external to the image whenever possible.


23. ACR Security Control Decision Matrix

RequirementRecommended control
Authenticate developersMicrosoft Entra ID
Pull-only accessAcrPull
Push and pull accessAcrPush
Repository-specific accessABAC repository permissions
Azure workload accessManaged identity
Prevent unauthenticated pullsDisable anonymous pull
Remove shared admin credentialsDisable ACR admin account
Restrict network accessNetwork rules/private networking
Eliminate public exposurePrivate endpoint + disable public access
Protect data at rest with customer-controlled keysCustomer-managed key
Detect known CVEsDefender vulnerability assessment
Establish artifact authenticityImage signing
Verify signed imagesNotation / verification tooling
Enforce signed-image deploymentAzure Policy + signature verification
Enforce registry security configurationAzure Policy

24. Common Exam Scenarios

Scenario 1: AKS only needs to pull images

An AKS workload needs to pull images from ACR but must not be able to push images.

Best choice: Assign the identity the minimum pull permission, such as AcrPull in an RBAC-only registry, or the appropriate ABAC-enabled repository reader role in an ABAC-enabled registry.


Scenario 2: Build pipeline needs to publish images

A CI/CD pipeline builds images and pushes them to ACR.

Best choice: Give the pipeline identity appropriate push permissions.

Do not give production workloads the same permissions simply because they use the same registry.


Scenario 3: Only one repository should be accessible

A developer should access only:

frontend/*

but not:

backend/*
database/*

Best choice: Use ACR’s ABAC repository permissions to scope access to the appropriate repository or repository prefix.


Scenario 4: No public registry access

A company requires the production registry to be accessible only from its Azure virtual network.

Best choice: Use a private endpoint/Private Link and disable public network access as appropriate.


Scenario 5: Detect vulnerable images

Security operations wants to identify known CVEs in images stored in ACR.

Best choice: Use Microsoft Defender for Cloud’s container image vulnerability assessment capabilities.


Scenario 6: Ensure images haven’t been tampered with

The organization wants to verify that production images came from approved publishers and were not altered.

Best choice: Implement container image signing and signature verification.


Scenario 7: Prevent anonymous access

The registry contains proprietary application images.

Best choice: Disable anonymous pull access.


25. Common Mistakes to Avoid

Mistake 1: Giving every developer AcrPush

If a developer only needs to pull images, AcrPush is excessive.

Use least privilege.

Mistake 2: Using the administrator account everywhere

The ACR admin account should not become the default enterprise authentication mechanism.

Mistake 3: Assuming network security replaces identity security

A private endpoint does not eliminate the need for authentication and authorization.

Mistake 4: Confusing vulnerability scanning with signing

A vulnerability scan does not prove that an image came from a trusted publisher.

Likewise, a valid signature does not mean an image contains no vulnerabilities.

Mistake 5: Granting registry-wide access when repository-level access is sufficient

Use repository-level ABAC permissions where the scenario requires granular access.

Mistake 6: Forgetting production pull-only requirements

Production workloads normally should not need permission to modify the images they consume.


26. Key SC-500 Takeaways

For the exam, remember these relationships:

Microsoft Entra ID
→ Provides identity-based authentication.

Azure RBAC
→ Determines what an identity can do.

AcrPull
→ Pull artifacts from an RBAC-only registry.

AcrPush
→ Push and pull artifacts in an RBAC-only registry.

ABAC repository permissions
→ Provide more granular repository-specific authorization.

Managed identity
→ Allows supported Azure resources to access ACR without storing credentials.

Private endpoint
→ Provides private connectivity to ACR.

Disable public network access
→ Prevents access through the public network where supported/configured.

Disable anonymous pull
→ Requires authentication for image pulls.

Defender for Cloud
→ Provides container image vulnerability assessment and security recommendations.

Image signing
→ Establishes artifact authenticity and integrity.

Notation
→ Provides current tooling for signing and verifying OCI artifacts.

Azure Policy
→ Provides centralized governance and enforcement of ACR security requirements.


Practice Exam Questions

Question 1

A company has an Azure Container Registry that stores proprietary production images. The security team requires that unauthenticated users must not be able to pull any image from the registry.

Which configuration should you implement?

A. Disable anonymous pull access
B. Enable the ACR administrator account
C. Assign AcrPush to all users
D. Enable public network access

Answer: A

Explanation: Anonymous pull allows unauthenticated clients to pull registry content. Disabling anonymous pull ensures that clients must authenticate before pulling images. RBAC should then determine what authenticated identities are authorized to access.


Question 2

A production application needs to retrieve container images from ACR. The application does not need to push, delete, or modify images. The organization wants to avoid storing registry credentials in application configuration.

Which approach provides the best solution?

A. Use a managed identity with pull-only permissions
B. Store the ACR administrator password in the application settings
C. Give the application AcrPush
D. Enable anonymous pull

Answer: A

Explanation: A managed identity allows a supported Azure resource to authenticate to ACR without embedding credentials in application code. The identity should receive only the permissions required to pull images.


Question 3

A company uses an ACR registry with Azure RBAC + ABAC Repository Permissions. A developer should be able to pull images only from the frontend repository and must not access backend.

Which approach should be used?

A. Assign Owner at the subscription level
B. Assign AcrPush at the registry level
C. Assign an ABAC-enabled repository reader role with a condition restricting access to frontend
D. Enable anonymous pull and rely on repository naming conventions

Answer: C

Explanation: ABAC repository permissions allow an ACR role assignment to be constrained to specific repositories or repository prefixes. This provides much more precise least-privilege access than registry-wide permissions.


Question 4

A security team wants to prevent the production ACR from being reachable through the public internet. AKS and build systems that require access to the registry operate within an Azure virtual network.

Which solution should the team consider?

A. Enable anonymous pull
B. Assign AcrPush to the AKS cluster
C. Enable the ACR administrator account
D. Configure an ACR private endpoint and restrict or disable public network access

Answer: D

Explanation: An ACR private endpoint provides private connectivity through Azure Private Link. Combining private connectivity with appropriate public network restrictions can prevent unintended public exposure.


Question 5

A security operations team wants to identify known CVEs in container images stored in ACR and receive recommendations for remediation.

Which service should they use?

A. Microsoft Defender for Cloud
B. Azure DNS
C. Azure Private Link
D. Microsoft Entra ID

Answer: A

Explanation: Microsoft Defender for Cloud can perform container image vulnerability assessment for supported ACR scenarios and provide recommendations when vulnerabilities are identified.


Question 6

A development organization wants to ensure that only images produced by an approved build organization can be deployed into production. It also wants to detect whether an image has been altered after it was signed.

Which security capability directly addresses these requirements?

A. Azure RBAC
B. Container image signing and signature verification
C. Anonymous pull access
D. Network Security Groups

Answer: B

Explanation: Image signing establishes artifact authenticity and integrity. Signature verification can confirm that an image was signed by a trusted publisher and has not been altered since signing.


Question 7

A CI/CD service builds container images and publishes them to ACR. A production AKS workload only needs to retrieve those images.

Which permission model follows the principle of least privilege?

A. Give both identities AcrPush
B. Give both identities Owner
C. Give the CI/CD identity push permissions and the production workload pull-only permissions
D. Give the production workload the ACR administrator account

Answer: C

Explanation: The build pipeline needs to publish images, while the production workload only needs to consume them. Separating push and pull permissions reduces the potential impact of a compromised production workload.


Question 8

An organization wants Azure Policy to identify ACR instances that do not have their local administrator account disabled.

What is the primary purpose of this policy?

A. Detect container image vulnerabilities
B. Enforce or audit registry security configuration
C. Sign container images
D. Encrypt container images during execution

Answer: B

Explanation: Azure Policy provides centralized governance and can audit or modify supported ACR configurations. Disabling the local administrator account is a registry configuration requirement, not a vulnerability-scanning or image-signing function.


Question 9

A company has disabled public access to an ACR through network restrictions. Microsoft Defender for Cloud is expected to scan images in the registry, but the scans are failing because the service cannot access the registry.

What should the security engineer investigate first?

A. Whether supported trusted-service access/network configuration is enabled for the restricted registry
B. Whether anonymous pull is enabled
C. Whether every developer has AcrPush
D. Whether the registry administrator account is enabled

Answer: A

Explanation: Defender for Cloud needs to access images to perform vulnerability scanning. When ACR is protected by network restrictions, the organization should verify the supported trusted-service/network configuration that allows the Microsoft service to access the registry.


Question 10

An organization wants to establish a complete security process for production container images. The requirements are:

  • Detect known vulnerabilities.
  • Verify image authenticity.
  • Prevent unauthorized images from being deployed.
  • Limit who can modify images.

Which combination provides the strongest solution?

A. Anonymous pull, public network access, and AcrPush
B. Vulnerability assessment, image signing/verification, Azure Policy enforcement, and least-privilege RBAC/ABAC
C. ACR administrator account and public IP restrictions only
D. Azure DNS and Network Security Groups only

Answer: B

Explanation: These controls address different stages of the container supply chain. Vulnerability assessment identifies known security weaknesses, signing and verification establish authenticity and integrity, Azure Policy can enforce organizational deployment/governance requirements, and RBAC/ABAC limits who can modify or access registry content. Together they provide defense in depth.


Final Word

This topic is especially important for SC-500 because it ties identity, least privilege, network security, vulnerability management, governance, and software supply-chain security together. The biggest distinctions to remember are AcrPull vs. AcrPush, RBAC vs. ABAC repository permissions, private endpoint vs. identity controls, vulnerability scanning vs. image signing, and Azure Policy vs. Defender for Cloud.


Go to the SC-500 Exam Prep Hub main page

Deploy applications to Azure Container Apps, including environment configuration and revision management (AI-200 Exam Prep)

This post is a part of the AI-200: Developing AI Cloud Solutions on Azure  Exam Prep Hub.
This topic falls under these sections:
Develop containerized solutions on Azure (20–25%)
   --> Implement container application hosting
      --> Deploy applications to Azure Container Apps, including environment configuration and revision management


Note that there are 10 practice questions (with answers) at the end of each section to help you solidify your knowledge of the material. Also, there are 4 practice tests with 30 questions each available from the hub's main page below the exam topics section.

Introduction

Azure Container Apps is a serverless container platform designed for running modern applications and microservices without requiring developers to manage the underlying Kubernetes infrastructure. For the AI-200 exam, developers should understand not only how to deploy a containerized application, but also how to configure its Container Apps environment, manage application settings, and use revisions to safely deploy and operate different versions of an application.

This topic is particularly important because Azure Container Apps separates the concepts of the application environment, the container application, and the revision. Understanding those boundaries makes many exam questions much easier to answer.


1. What Is Azure Container Apps?

Azure Container Apps provides a managed platform for running containerized applications while abstracting much of the infrastructure management associated with Kubernetes.

It is well suited for applications such as:

  • REST APIs
  • Web applications
  • Microservices
  • Background processing services
  • Event-driven applications
  • AI inference services
  • Containerized application backends

Unlike Azure Kubernetes Service, developers do not need to manage Kubernetes clusters, nodes, or the Kubernetes control plane.

Azure Container Apps can provide:

  • Containerized application hosting
  • Automatic scaling
  • Scale-to-zero capabilities
  • HTTP and TCP ingress
  • Service-to-service communication
  • Revisions and traffic splitting
  • Secrets and configuration
  • Managed identities
  • Dapr integration
  • Logging and monitoring
  • Workload profiles

For AI applications, Container Apps can be particularly useful for hosting APIs, inference services, orchestration components, and other containerized workloads.


2. Understand the Container Apps Environment

A Container Apps environment is a secure boundary around a group of Container Apps.

Multiple Container Apps can be deployed into the same environment. Apps within the same environment can share important infrastructure characteristics, including networking and logging. Microsoft describes the environment as a secure boundary for a group of container apps.

A useful mental model is:

Azure subscription → Resource group → Container Apps environment → Container Apps → Revisions

For example:

Subscription
│
└── Resource Group
│
└── Container Apps Environment
│
├── customer-api
│ ├── Revision 1
│ ├── Revision 2
│ └── Revision 3
│
├── recommendation-api
│ ├── Revision 1
│ └── Revision 2
│
└── document-processor
└── Revision 1

The environment therefore provides infrastructure-level isolation and shared capabilities, while the individual Container App represents an application or service running inside that environment.


3. Why the Environment Matters

When creating a Container App, you either select an existing Container Apps environment or create a new one.

Environment configuration can affect:

  • Networking
  • Logging
  • Workload profiles
  • Application isolation
  • Communication between applications
  • Infrastructure configuration

For example, applications deployed into the same environment can communicate with one another using Container Apps’ internal networking capabilities.

The environment can also be associated with logging infrastructure such as a Log Analytics workspace.

Exam Tip

If a question says that several Container Apps need to share a common environment, networking boundary, or logging configuration, think about the Container Apps environment rather than creating separate environments for every application.


4. Creating a Container App

A typical deployment involves the following conceptual steps:

  1. Create or select a resource group.
  2. Create or select a Container Apps environment.
  3. Specify the container image.
  4. Configure compute resources.
  5. Configure environment variables and secrets.
  6. Configure ingress if the application needs to receive traffic.
  7. Configure scaling.
  8. Deploy the application.
  9. Monitor the resulting revision.

For example, Azure CLI can deploy an existing container image with a command conceptually similar to:

az containerapp create \
--name my-container-app \
--resource-group my-resource-group \
--environment my-container-environment \
--image myregistry.azurecr.io/myapp:v1 \
--target-port 80 \
--ingress external

The important exam concept is not memorizing the exact command syntax. Instead, understand which configuration belongs to the environment and which belongs to the Container App.


5. Container App Configuration vs. Revision Configuration

One of the most important concepts for AI-200 is that not every change to a Container App creates a new revision.

Azure Container Apps distinguishes between:

Revision-scope changes

These changes define the version of the application and result in a new revision.

Examples include changes to:

  • Container image
  • Container configuration
  • Container resources
  • Environment variables associated with the container template
  • Scale configuration
  • Scale rules
  • Container commands and arguments
  • Probes
  • Volumes and mounts
  • Revision suffix

The Container Apps API documentation describes the template as the versioned application definition, and changes to the template result in a new immutable revision.

Application-scope changes

These changes affect the Container App configuration rather than creating a new version of the application.

Examples include:

  • Revision mode
  • Ingress configuration
  • Traffic rules
  • Secrets
  • Registry credentials
  • Dapr configuration
  • Other application-level configuration

These settings apply to the application rather than representing a new immutable revision.

Exam shortcut

When deciding whether a change creates a revision, ask:

Does this change define the versioned application template?

If yes, it is generally a revision-scope change.

If it changes how the application is configured or exposed without changing the application template, it is generally an application-scope change.


6. What Is a Revision?

A revision is an immutable snapshot of a Container App’s versioned configuration.

Think of a revision as a deployable version of the application.

For example:

customer-api
│
├── Revision 1 → v1 container image
├── Revision 2 → v2 container image
└── Revision 3 → v3 container image

Once created, a revision is immutable.

If you change the container image from:

myapp:v1

to:

myapp:v2

Azure Container Apps creates a new revision rather than modifying the existing revision.

This provides an important deployment-management capability:

A deployed revision represents a known version of the application.

Microsoft’s documentation describes revisions as immutable, versioned snapshots that can remain available for rollback, testing, or traffic management.


7. Why Revisions Are Important

Revisions provide several important capabilities.

Version management

You can identify different versions of an application.

Safe deployments

A new revision can be deployed without immediately replacing the existing version in multiple-revision scenarios.

Rollbacks

If a new version fails, traffic can be directed back to a previous revision.

A/B testing

Different revisions can receive different percentages of traffic.

Blue-green deployments

One revision can serve production traffic while another is deployed and validated before switching traffic.

Testing

A new revision can be tested before directing production traffic to it.

These capabilities make revisions particularly valuable for AI applications where changes to models, inference code, prompts, dependencies, or APIs may need controlled deployment.


8. Single Revision Mode

Azure Container Apps supports single revision mode and multiple revision mode. Single revision mode is the default.

In single revision mode:

  • Only one revision is active at a time.
  • A new revision is created when a revision-scoped change is deployed.
  • Azure manages the transition from the old revision to the new revision.
  • Traffic moves to the new revision after it is ready.
  • The old revision is eventually deprovisioned.

This mode is useful when the desired deployment model is essentially:

“Deploy the new version and replace the old version.”

For example:

Before deployment:
100% traffic
│
▼
Revision 1
After deployment:
100% traffic
│
▼
Revision 2

9. Zero-Downtime Deployment

Single revision mode is designed to avoid unnecessary downtime during deployment.

When a new revision is created, the existing revision continues serving traffic while the new revision is provisioned.

The new revision must become ready before traffic is moved.

Readiness involves factors such as:

  • Successful provisioning
  • Required replicas becoming available
  • Startup probes passing
  • Readiness probes passing

Therefore, if a new revision fails to become ready, the existing revision can continue serving traffic rather than immediately being replaced.

Exam scenario

Suppose:

  • Revision 1 is healthy.
  • Revision 2 is deployed.
  • Revision 2 fails its readiness checks.

The safest answer is generally that Revision 1 continues receiving traffic in single revision mode while Revision 2 fails to become ready.


10. Multiple Revision Mode

Multiple revision mode allows multiple revisions to remain active simultaneously.

This provides significantly more control over deployments.

For example:

                 ┌── Revision 1 ── 80%
Incoming traffic ┤
                 └── Revision 2 ── 20%

This is useful for:

  • A/B testing
  • Canary releases
  • Blue-green deployments
  • Gradual rollouts
  • Testing a new application version
  • Maintaining multiple application versions

Microsoft’s traffic-splitting functionality allows traffic to be distributed among active revisions using percentage weights. The total traffic allocation must equal 100%.


11. Traffic Splitting

In multiple revision mode, traffic can be divided among revisions.

For example:

Revision 1 → 90%
Revision 2 → 10%

This means approximately 90% of incoming traffic is routed to Revision 1 and 10% to Revision 2.

A common deployment strategy is to gradually increase the percentage assigned to the new revision:

Stage 1
v1 = 100%
v2 = 0%
Stage 2
v1 = 90%
v2 = 10%
Stage 3
v1 = 50%
v2 = 50%
Stage 4
v1 = 0%
v2 = 100%

This provides a controlled rollout.

Important exam point

Traffic weights must add up to 100%.

For example:

Revision A = 70%
Revision B = 30%

is valid.

But:

Revision A = 70%
Revision B = 20%

does not fully allocate traffic.


12. Revision Labels

Revision labels provide a way to identify a particular revision with a meaningful name.

Instead of relying entirely on an automatically generated revision name, a developer can use a label representing an environment or deployment stage.

For example:

staging
production

A labeled revision can be accessed through a label-specific endpoint.

Labels can be useful when:

  • Testing a specific revision
  • Maintaining a staging version
  • Providing direct access to a particular revision
  • Performing deployment workflows
  • Separating testing traffic from production traffic

Azure CLI provides commands for managing revision labels, including adding, removing, and swapping labels.


13. Revision Names and Suffixes

Azure Container Apps automatically generates revision names, but developers can provide a meaningful revision suffix.

For example:

customer-api-v2

could be represented conceptually by a Container App named:

customer-api

with a revision suffix such as:

v2

Meaningful revision naming can make deployment management easier.

Good naming can help identify:

  • Application version
  • Deployment stage
  • Release identifier
  • Build number
  • Feature release

However, revision names and suffixes have naming restrictions, so applications should follow Azure’s supported naming rules rather than assuming arbitrary strings are valid.


14. Deploying a New Revision

A new revision is created when a revision-scope property changes.

For example, changing:

image = myregistry.azurecr.io/customer-api:v1

to:

image = myregistry.azurecr.io/customer-api:v2

creates a new revision.

Conceptually:

Revision 1
Image: customer-api:v1
│
│ deploy image v2
▼
Revision 2
Image: customer-api:v2

Revision 1 remains an independent immutable version.

This is one of the most important concepts to understand for exam questions involving deployments.


15. Rollbacks

Suppose Revision 2 introduces a serious problem:

Revision 1 → stable
Revision 2 → defective

In a multiple-revision deployment, traffic can be redirected back to Revision 1.

For example:

Before rollback:
Revision 1 → 20%
Revision 2 → 80%
After rollback:
Revision 1 → 100%
Revision 2 → 0%

The existing revision doesn’t need to be rebuilt because the previous revision already represents the known-good application version.

This is one of the primary benefits of immutable revisions.


16. Blue-Green Deployments

Azure Container Apps revisions can be used to implement a blue-green deployment strategy.

For example:

BLUE
Revision 1
Production
100% traffic
GREEN
Revision 2
New version
0% traffic

The new revision can be tested while receiving no production traffic.

Once validation is complete:

BLUE → 0%
GREEN → 100%

The new version becomes the production version.

If a problem occurs:

BLUE → 100%
GREEN → 0%

This provides a fast rollback mechanism.


17. Canary Deployments

Multiple revisions can also support a canary release.

For example:

Stable revision → 95%
New revision → 5%

Only a small percentage of users initially reach the new version.

If the new version performs well, the deployment can gradually increase its traffic allocation:

95/5
80/20
50/50
20/80
0/100

This is especially useful for AI applications because a new model or inference implementation can be exposed to a limited portion of traffic before being fully deployed.


18. Scaling and Revisions

Scaling configuration can also be revision-scoped.

For example, a Container App might use:

Minimum replicas: 1
Maximum replicas: 10

and scale based on HTTP concurrency.

Changing the application’s scale configuration can result in a new revision because scale settings are part of the versioned template.

This is important because two revisions can potentially have different scaling configurations.

For example:

Revision 1
min replicas = 1
max replicas = 5
Revision 2
min replicas = 2
max replicas = 20

In multiple revision mode, these revisions can coexist with their respective configurations.


19. Ingress Configuration

Ingress determines how network traffic reaches a Container App.

Depending on the application, ingress can be:

  • External
  • Internal

External ingress makes the application accessible from outside the environment.

Internal ingress is useful when the application should only be reachable from within the environment or associated network configuration.

Container Apps supports HTTP and TCP-oriented ingress scenarios, with HTTP/1.1, HTTP/2, and TCP transport options depending on the configuration and workload.

Exam clue

If a question asks:

“The application must be accessible from the public internet.”

Look for an external ingress configuration.

If it asks:

“The API should only be accessible by other applications inside the Container Apps environment.”

Look for internal ingress.


20. Environment Variables

Containerized applications frequently require configuration values such as:

ENVIRONMENT=Production
MODEL_NAME=my-model
API_ENDPOINT=https://example

These values can be provided as environment variables.

Environment variables are part of the container configuration and therefore can be associated with a revision.

For example:

Revision 1
API_ENDPOINT = endpoint-v1
Revision 2
API_ENDPOINT = endpoint-v2

This is important when different application versions need different configuration.


21. Secrets

Sensitive information should not be hard-coded into container images.

Examples include:

  • API keys
  • Passwords
  • Connection strings
  • Tokens
  • Credentials

Azure Container Apps supports secrets that can be referenced by container environment variables.

Conceptually:

Container
│
└── Environment variable
│
└── secretRef
│
▼
Container App Secret

The Container Apps API supports environment variables that reference Container App secrets using secretRef.

For more advanced secret-management requirements, Azure Key Vault can be used rather than embedding credentials directly in the application.

Exam Tip

If the question asks where to store a password or API key, do not choose a Dockerfile or hard-coded environment variable.

Think:

Secret management → Container Apps secrets / Azure Key Vault


22. Private Container Registries

Container Apps can deploy images from private container registries.

For example:

Azure Container Registry
│
│ image
▼
Azure Container Apps

The Container App must have appropriate authorization to pull the image.

For Azure-hosted workloads, managed identities can often be used to avoid embedding long-lived credentials.

This follows an important security principle:

Prefer identity-based authentication over hard-coded credentials.


23. Container Apps and Azure Container Registry

A common AI-200 deployment architecture is:

Developer
│
▼
Build container image
│
▼
Azure Container Registry
│
▼
Azure Container Apps
│
├── Revision 1
└── Revision 2

Azure Container Registry stores the container image while Azure Container Apps runs the container.

A new image version can then be deployed as a new revision.

For example:

my-ai-api:v1
my-ai-api:v2
my-ai-api:v3

Each deployment can correspond to a new revision.


24. Environment Configuration vs. Revision Management

A useful exam distinction is:

ConceptPurpose
Container Apps environmentShared boundary and infrastructure context
Container AppThe application/service
RevisionImmutable version of the application
Revision modeDetermines how revisions are activated
IngressControls how traffic reaches the application
Traffic splittingDetermines how traffic is distributed
Revision labelProvides identifiable access to a revision
SecretStores sensitive configuration
Environment variableSupplies application configuration
Scale configurationDetermines how the application responds to demand

Understanding these distinctions helps prevent choosing an answer that sounds plausible but operates at the wrong level.


25. A Typical Deployment Lifecycle

A production deployment might look like this:

Step 1 — Build

Create the container image.

AI application source
↓
Docker build
↓
Container image

Step 2 — Store

Push the image to Azure Container Registry.

Container image
↓
Azure Container Registry

Step 3 — Deploy

Deploy the image to Azure Container Apps.

Registry
↓
Container App
↓
Revision 1

Step 4 — Update

Deploy a new image.

Registry
↓
Container App
↓
Revision 2

Step 5 — Validate

Check:

  • Provisioning state
  • Running state
  • Replica health
  • Application logs
  • Health probes
  • Application metrics

Step 6 — Route traffic

In multiple revision mode:

Revision 1 → 90%
Revision 2 → 10%

Step 7 — Complete rollout

If the new revision is healthy:

Revision 1 → 0%
Revision 2 → 100%

Step 8 — Roll back if necessary

If problems appear:

Revision 1 → 100%
Revision 2 → 0%

This workflow illustrates why revisions are such an important Azure Container Apps capability.


26. Common Exam Traps

Trap 1: Assuming every configuration change creates a revision

Not every change creates a new revision.

Remember the distinction between revision-scope and application-scope configuration.


Trap 2: Assuming revisions are mutable

Revisions are immutable.

To change the versioned application configuration, deploy a new revision.


Trap 3: Confusing single and multiple revision modes

Single mode is designed around one active revision.

Multiple mode allows several revisions to be active simultaneously.


Trap 4: Using traffic splitting in single mode

Traffic splitting requires multiple active revisions.

If the question specifically requires distributing traffic between two versions, look for multiple revision mode.


Trap 5: Assuming a failed new revision automatically replaces the healthy one

Azure Container Apps provides mechanisms that help maintain availability during deployment. In single revision mode, the existing revision can continue serving traffic while the new revision is being prepared.


Trap 6: Confusing a Container Apps environment with a Container App

The environment is the broader hosting boundary.

The Container App is the actual application.

Multiple Container Apps can exist within an environment.


Trap 7: Hard-coding secrets into a container

Passwords and API keys should not be placed directly into application code or container images.

Use appropriate secret-management capabilities.


Trap 8: Forgetting that scale configuration can be revision-specific

Scale configuration belongs to the versioned application template and can therefore create a new revision when changed.


27. AI-200 Exam Summary

For the AI-200 exam, remember these core points:

  1. Azure Container Apps provides managed hosting for containerized applications.
  2. A Container Apps environment provides a secure boundary for a group of Container Apps.
  3. Multiple Container Apps can share the same environment.
  4. A revision represents an immutable version of a Container App.
  5. Changes to revision-scoped properties create new revisions.
  6. Application-scoped changes don’t create new revisions.
  7. Single revision mode is the default.
  8. Multiple revision mode allows multiple active revisions.
  9. Traffic can be split between active revisions in multiple mode.
  10. Traffic weights must total 100%.
  11. Revisions support blue-green deployments.
  12. Revisions support canary and A/B testing scenarios.
  13. Previous revisions can provide a convenient rollback target.
  14. Revision labels can provide meaningful access to particular revisions.
  15. Environment variables provide application configuration.
  16. Secrets should be used for sensitive values.
  17. Container Apps can pull images from container registries such as Azure Container Registry.
  18. Managed identities can reduce the need for embedded credentials.
  19. Ingress determines how applications receive network traffic.
  20. Health probes and application readiness are important during deployment.
  21. Scaling configuration can be revision-specific.
  22. Understanding the difference between environment, application, revision, and traffic configuration is essential for scenario-based questions.

Practice Exam Questions

Question 1

You deploy a container app named orders-api using revision 1. You then change the container image from orders:v1 to orders:v2.

What happens when the change is deployed?

A. Revision 1 is modified in place.

B. A new revision is created containing the new container image.

C. The Container Apps environment is recreated.

D. The application is automatically moved to another region.

Answer: B

Explanation

The container image is part of the versioned container template. Changing the image is therefore a revision-scope change, which causes a new immutable revision to be created. Revision 1 remains unchanged. Azure’s Container Apps API identifies the container template as versioned and states that changes to it create a new revision.


Question 2

An organization has three Container Apps that need to share a common networking boundary and logging infrastructure.

What should you create?

A. A separate revision for each application.

B. A single Container Apps environment containing the three applications.

C. A single container image containing all three applications.

D. A separate Azure Kubernetes Service cluster for each application.

Answer: B

Explanation

A Container Apps environment provides a secure boundary around a group of Container Apps. Applications within the same environment can share environment-level capabilities such as networking and logging.


Question 3

You need to gradually introduce a new version of an API. Initially, 95% of requests should go to the existing revision and 5% should go to the new revision.

Which configuration should you use?

A. Single revision mode with an environment variable.

B. A new Container Apps environment.

C. Multiple revision mode with traffic splitting.

D. A second container inside the same revision.

Answer: C

Explanation

Multiple revision mode allows multiple revisions to remain active simultaneously and supports percentage-based traffic splitting. This makes it appropriate for gradual or canary deployments.


Question 4

A Container App is currently configured in single revision mode. A developer deploys a new revision, but the new revision fails its readiness checks.

What is the expected behavior?

A. The existing healthy revision can continue serving traffic while the new revision fails to become ready.

B. All revisions are immediately deactivated.

C. The environment is automatically deleted.

D. Traffic is automatically divided equally between the failed and healthy revisions.

Answer: A

Explanation

In single revision mode, Azure Container Apps maintains the existing revision while the new revision is being provisioned. The new revision must become ready before traffic is moved to it. This helps support zero-downtime deployments.


Question 5

You need to deploy a new revision for testing while keeping the current production revision at 100% traffic. The test revision should remain available so developers can test it directly.

Which approach is most appropriate?

A. Use single revision mode and delete the production revision.

B. Create a second Container Apps environment and duplicate the application.

C. Modify the existing production revision in place.

D. Use multiple revision mode and keep the test revision active with appropriate traffic allocation or a revision label.

Answer: D

Explanation

Multiple revision mode allows several revisions to remain active. A revision can also be associated with a label to provide direct access to a particular revision. This is useful for staging and testing scenarios without immediately shifting production traffic.


Question 6

A developer changes an application’s revision mode from Single to Multiple.

Does changing the revision mode itself create a new revision?

A. Yes. Every configuration change creates a revision.

B. Yes, but only if traffic splitting is also configured.

C. No. Revision mode is an application-scope configuration.

D. No, because revision mode is stored in the container image.

Answer: C

Explanation

Revision mode is an application-scope configuration setting. Changing the revision mode does not itself create a new revision. Azure’s current API documentation identifies activeRevisionsMode as part of the non-versioned Container App configuration.


Question 7

An application has two active revisions configured with traffic weights of 70% and 20%.

What is wrong with this configuration?

A. Traffic splitting can only be 50/50.

B. Traffic weights must total 100%.

C. Multiple revision mode only supports two revisions.

D. Traffic splitting requires three revisions.

Answer: B

Explanation

Traffic weights define the percentage of incoming traffic routed to each revision. The combined weights must equal 100%. A 70% + 20% configuration accounts for only 90% of traffic.


Question 8

An AI inference API stores an Azure OpenAI API key in its container image.

What is the best improvement?

A. Move the key into a Dockerfile argument.

B. Put the key into the container image as an encrypted text file.

C. Store the key in a Container Apps secret or an appropriate external secret-management service such as Azure Key Vault.

D. Put the key directly into the application’s source code.

Answer: C

Explanation

Secrets such as API keys and passwords should not be embedded in source code or container images. Container Apps supports secrets that can be referenced by environment variables, while Azure Key Vault provides centralized secret management for more advanced scenarios. The Container Apps API supports secretRef for connecting environment variables to Container App secrets.


Question 9

You are implementing a blue-green deployment. Revision 1 is currently serving production traffic. Revision 2 contains a new version that has been fully tested.

What should you do to switch production to Revision 2 while retaining the ability to quickly roll back?

A. Delete Revision 1 immediately.

B. Update Revision 1 so it contains Revision 2’s code.

C. Create a new Container Apps environment and redirect DNS.

D. Shift production traffic from Revision 1 to Revision 2 while keeping Revision 1 available.

Answer: D

Explanation

Revisions are immutable versions of an application. A blue-green deployment can maintain the existing revision while the new revision is validated. Production traffic can then be shifted to the new revision. Keeping the previous revision available provides a straightforward rollback target if problems occur.


Question 10

You have an application running in multiple revision mode:

Revision A → 80%
Revision B → 20%

You change the container image used by Revision B.

What should you expect?

A. Revision B is modified in place while retaining its existing revision identity.

B. The Container Apps environment is recreated.

C. A new revision is created containing the changed container image.

D. Revision A is automatically deleted.

Answer: C

Explanation

The container image is part of the revision’s versioned template. Changing it creates a new revision rather than modifying the existing immutable revision. The new revision can then be activated and assigned traffic according to the application’s revision configuration.


Final Exam Takeaway

The easiest way to reason about Azure Container Apps deployment questions is to think in terms of layers:

CONTAINER APPS ENVIRONMENT
│
│ Shared hosting/networking boundary
▼
CONTAINER APP
│
│ Application configuration
▼
REVISION
│
│ Immutable version
▼
CONTAINER IMAGE + TEMPLATE + SCALE CONFIGURATION

Then ask:

Does the question involve the hosting boundary?
→ Think Container Apps environment.

Does it involve the application itself?
→ Think Container App configuration.

Does it change the versioned application template?
→ Think new revision.

Does it require multiple versions to run simultaneously?
→ Think multiple revision mode.

Does it require controlled percentages of traffic?
→ Think traffic splitting.

Does it require a gradual rollout?
→ Think canary deployment.

Does it require switching between old and new versions?
→ Think blue-green deployment.

Does it require returning to a known-good version?
→ Think previous revision and rollback.

Mastering those distinctions will cover a substantial portion of the scenario-based questions you are likely to encounter around deploying applications to Azure Container Apps for AI-200.


Go to the AI-200 Exam Prep Hub main page

Build and Run Images by Using Azure Container Registry Tasks (AI-200 Exam Prep)

This post is a part of the AI-200: Developing AI Cloud Solutions on Azure  Exam Prep Hub.
This topic falls under these sections:
Develop containerized solutions on Azure (20–25%)
   --> Implement container application hosting
      --> Build and Run Images by Using Azure Container Registry Tasks


Note that there are 10 practice questions (with answers) at the end of each section to help you solidify your knowledge of the material. Also, there are 4 practice tests with 30 questions each available from the hub's main page below the exam topics section.

Overview

Azure Container Registry Tasks (ACR Tasks) provides cloud-based capabilities for building, testing, and managing container images in Azure Container Registry (ACR).

ACR Tasks is particularly useful when developers want to move container image builds into the cloud rather than relying on a locally installed Docker engine. It can support simple on-demand builds, automated builds triggered by source-code or base-image changes, and more sophisticated multi-step workflows involving multiple containers.

For the AI-200: Developing AI Cloud Solutions on Azure exam, you should understand not only how to execute an ACR Task, but also when to use each type of task, how build contexts work, how images are tagged, how multi-step tasks are defined, how tasks are triggered, and how tasks can securely access other resources.

Microsoft’s AI-200 training specifically identifies building and managing container images in the cloud with ACR Tasks and using the Azure CLI to run ACR quick tasks as learning objectives.


1. What Are Azure Container Registry Tasks?

ACR Tasks is a collection of capabilities within Azure Container Registry that allows you to perform container image operations in Azure.

At a high level:

Source Code / Dockerfile
|
v
ACR Task
|
+-----+-----+
| |
v v
Build Test
| |
+-----+-----+
|
v
Container Image
|
v
ACR

ACR Tasks can:

  • Build container images in Azure
  • Push images to ACR
  • Run containers as part of a task
  • Test container images
  • Build multiple images
  • Execute steps sequentially or in parallel
  • Automatically trigger builds from source-code changes
  • Automatically rebuild images when base images change
  • Run tasks on a schedule
  • Integrate into CI/CD workflows

ACR Tasks supports Linux, Windows, and ARM image platforms, depending on the configuration and supported scenarios.


2. Why Use ACR Tasks?

A traditional container development workflow might look like this:

Developer Computer
|
+-- Docker build
|
+-- Docker test
|
+-- Docker push
|
v
Azure Container Registry

This requires the developer’s machine to have the appropriate container tooling.

With an ACR Task:

Developer
|
| Azure CLI
v
Azure Container Registry
|
+-- Build
+-- Test
+-- Push

The build is performed in Azure.

This has several advantages:

  • No local Docker Engine is required for an ACR quick task.
  • Builds can be standardized.
  • Builds can be automated.
  • Container images can be built close to the registry.
  • Build workflows can be triggered by source-code changes.
  • Base-image updates can automatically initiate rebuilds.
  • More complex build/test workflows can be defined using YAML.

Microsoft describes quick tasks as an integrated development experience that offloads container image builds to Azure and can perform the equivalent of docker build and docker push in the cloud.


3. Three Important ACR Task Scenarios

For AI-200, understand these three categories:

Task typePrimary purpose
Quick taskOn-demand build and push
Automatically triggered taskAutomatically execute when an event occurs
Multi-step taskBuild, test, run, and push multiple images/workflows

These aren’t mutually exclusive concepts.

For example, a multi-step task can also be automatically triggered by a Git commit.


4. Quick Tasks

A quick task is an on-demand container image build performed in Azure.

It is particularly useful during development.

The Azure CLI command is:

az acr build

For example:

az acr build \
--registry myregistry \
--image orders-api:v1 \
.

The final . represents the build context.

Conceptually, this performs:

Dockerfile + build context
|
v
ACR Task
|
v
Build image
|
v
Push image
|
v
ACR

The important point is that the build takes place in Azure rather than requiring a local Docker engine.

ACR Tasks’ quick-build capability is essentially a cloud-based equivalent of performing a Docker build and push operation.


5. Understanding the Build Context

One of the most important concepts when using az acr build is the build context.

Consider:

az acr build \
--registry myregistry \
--image orders-api:v1 \
.

The . specifies the current directory as the build context.

The build context contains files that are available to the Docker build process.

For example:

orders-api/
│
├── Dockerfile
├── requirements.txt
├── app.py
└── src/

Running:

az acr build ... .

makes that directory the build context.

The context can also come from other supported locations, including source repositories.


6. Dockerfile and ACR Tasks

ACR Tasks uses familiar Docker build syntax.

For example:

FROM python:3.12
WORKDIR /app
COPY requirements.txt .
RUN pip install -r requirements.txt
COPY . .
CMD ["python", "app.py"]

You can then build the image with:

az acr build \
--registry myregistry \
--image orders-api:v1 \
.

The Dockerfile defines how the container image is constructed.

ACR Tasks handles the build environment and performs the build in Azure.


7. Specifying a Dockerfile

If the Dockerfile has a different name or location, specify it using --file.

For example:

az acr build \
--registry myregistry \
--image orders-api:v1 \
--file Dockerfile.production \
.

You can also specify a Dockerfile located elsewhere relative to the build context.

The important exam concept is:

The build context and Dockerfile are related but are not necessarily the same thing.

The Dockerfile describes the build instructions.

The build context identifies the files available to the build.


8. ACR Tasks Versus Local Docker Builds

Consider this traditional command:

docker build -t orders-api:v1 .

With ACR Tasks, you can use:

az acr build \
--registry myregistry \
--image orders-api:v1 \
.

The conceptual difference is:

Local DockerACR Tasks
Build occurs locallyBuild occurs in Azure
Requires Docker EngineNo local Docker Engine required for quick tasks
Image initially exists locallyImage can be pushed directly to ACR
Developer manages build environmentAzure provides the task execution environment

This distinction is a likely source of scenario-based exam questions.


9. Building Without a Local Docker Engine

Suppose a developer has:

  • Azure CLI
  • Access to an Azure Container Registry
  • A Dockerfile
  • Application source code

but doesn’t have Docker installed.

The developer can still build the image using:

az acr build \
--registry myregistry \
--image orders-api:v1 \
.

This is one of the strongest scenarios for recognizing ACR Tasks on the exam.


10. Running an Image with ACR Tasks

ACR Tasks can also run containers as part of a task.

The cmd step is used for this purpose in multi-step tasks.

For example:

version: v1.1.0
steps:
- build: -t $Registry/orders-api:$ID .
- cmd: $Registry/orders-api:$ID

The cmd step runs a container using the specified image.

This makes it possible to use ACR Tasks for testing.

For example:

Build image
|
v
Run image
|
v
Execute tests
|
v
Push image

The cmd step supports parameters similar to familiar container-run operations, including environment variables and detached execution.


11. Multi-Step Tasks

A multi-step task allows you to create a more sophisticated container workflow.

Instead of simply:

Build → Push

you can implement:

Build
|
v
Run
|
v
Test
|
v
Push

You can also build multiple images:

             +--> Build API ----+
             |                  |
Source ------+                  +--> Test --> Push
             |                  |
             +--> Build Worker -+

Multi-step tasks are defined in a YAML file.

Microsoft identifies three primary ACR Tasks step types:

  • build
  • push
  • cmd

12. The build Step

The build step builds a container image.

Example:

version: v1.1.0
steps:
- build: -t $Registry/orders-api:$ID .

Conceptually, this is similar to:

docker build

but the build is performed within the ACR Tasks environment.

The image name should identify the image that the task builds.


13. The push Step

The push step pushes an image to a container registry.

Example:

version: v1.1.0
steps:
- build: -t $Registry/orders-api:$ID .
- push:
- $Registry/orders-api:$ID

The build step creates the image.

The push step publishes it to the registry.

An important exam distinction is that in a multi-step az acr run task, you should not assume that a built image is automatically pushed simply because it was built. The task definition can explicitly use a push step to publish it.


14. The cmd Step

The cmd step executes a container.

For example:

version: v1.1.0
steps:
- cmd: bash:3.0 echo "Hello from ACR Tasks"

It can also execute an image produced by an earlier build:

version: v1.1.0
steps:
- build: -t $Registry/orders-api:$ID .
- cmd: $Registry/orders-api:$ID

This is especially useful for testing.

The cmd step can use environment variables and other execution options.


15. Build, Test, and Push

A common ACR Tasks pattern is:

version: v1.1.0
steps:
- build: -t $Registry/orders-api:$ID .
- cmd: $Registry/orders-api:$ID
- push:
- $Registry/orders-api:$ID

Conceptually:

             BUILD
               |
               v
          Container Image
               |
               v
              TEST
               |
         Tests successful
               |
               v
              PUSH
               |
               v
              ACR

This pattern can prevent an image from being pushed until validation has occurred.


16. Step Dependencies

ACR Tasks allows steps to have dependencies.

The when property can specify which previous steps must complete before a step executes.

For example:

version: v1.1.0
steps:
- id: build
build: -t $Registry/orders-api:$ID .
- id: test
cmd: $Registry/orders-api:$ID
when: ["build"]
- id: push
push:
- $Registry/orders-api:$ID
when: ["test"]

The sequence is:

build
|
v
test
|
v
push

This allows the task to express workflow dependencies explicitly.


17. Parallel Execution

ACR Tasks can also execute independent steps concurrently.

For example:

version: v1.1.0
steps:
- id: build-api
build: -t $Registry/api:$ID .
when: ["-"]
- id: build-worker
build: -t $Registry/worker:$ID ./worker
when: ["-"]

The special:

when: ["-"]

indicates that the step has no dependency on another step and can begin immediately.

Therefore:

        +--> Build API ---+
        |                 |
START --+                 +--> Continue
        |                 |
        +--> Build Worker-+

This can reduce total task execution time when operations are independent.

Microsoft’s ACR Tasks YAML reference specifically documents when: ["-"] for steps that have no dependency and can execute concurrently.


18. Build Dependencies Versus Sequential Steps

If when isn’t specified, a step is dependent on the previous step in the task definition.

For example:

steps:
- id: build
build: -t $Registry/api:$ID .
- id: test
cmd: $Registry/api:$ID
- id: push
push:
- $Registry/api:$ID

This naturally produces:

build → test → push

If explicit dependencies are needed, use when.


19. Running an ACR Task

The Azure CLI command commonly used to execute a task definition is:

az acr run

For example:

az acr run \
--registry myregistry \
--file acr-task.yaml \
.

You can also use a Git repository as the context.

For example:

az acr run \
--registry myregistry \
--file acr-task.yaml \
https://github.com/example/project.git

The task receives the specified source context and executes the defined workflow.


20. az acr build Versus az acr run

This is an important distinction for AI-200.

az acr build

Designed primarily for a quick cloud-based image build.

Example:

az acr build \
--registry myregistry \
--image orders-api:v1 \
.

Think:

Build an image quickly in Azure.

az acr run

Executes an ACR Tasks workflow.

Example:

az acr run \
--registry myregistry \
--file acr-task.yaml \
.

Think:

Run a defined task workflow.

A multi-step task uses az acr run.


21. ACR Tasks Run Variables

ACR Tasks provides built-in run variables.

These variables can be used to create standardized image names and tags.

One particularly useful variable is:

Run.ID

which can be represented in task YAML using the $ID alias.

For example:

steps:
- build: -t $Registry/orders-api:$ID .

This gives each task run a unique identifier that can be incorporated into the image tag.

ACR Tasks also provides variables associated with:

  • Registry
  • Registry name
  • Run ID
  • Date
  • Operating system
  • Architecture
  • Git commit
  • Git branch
  • Task name


22. Why Use Unique Build Tags?

Suppose every build uses:

orders-api:latest

You lose an easy way to distinguish individual builds.

Instead, you could use:

orders-api:build-123
orders-api:build-124
orders-api:build-125

ACR Tasks’ run ID can help automate this.

For example:

steps:
- build: -t $Registry/orders-api:$ID .
- push:
- $Registry/orders-api:$ID

This produces unique image references for individual runs.

This is especially useful for CI/CD scenarios.


23. Automatically Triggered Tasks

ACR Tasks can automatically execute based on events.

Important trigger scenarios include:

Source-code updates

A task can run when code is committed to a supported Git repository.

For example:

Developer commits code
|
v
Git repository
|
v
ACR Task trigger
|
v
Build image
|
v
Push image

Base-image updates

A task can be triggered when a base image changes.

For example:

FROM python:3.12

If the base image is updated, an ACR Task can rebuild the application image.

This is useful for automatically incorporating updated OS or framework components.

Scheduled execution

ACR Tasks can also support scheduled execution.

For example:

Every night
|
v
ACR Task
|
v
Build/test image

Microsoft documents source-code, base-image, and timer-based triggers as ACR Tasks automation scenarios.


24. Base Image Update Triggers

Base image triggers are especially relevant to security and maintenance.

Suppose:

FROM ubuntu:24.04

A security update causes a newer version of the base image to become available.

Without automation:

Base image updated
|
X
Application image remains unchanged

With an ACR Task:

Base image updated
|
v
ACR Task trigger
|
v
Rebuild application image
|
v
Push updated image

This allows organizations to automatically rebuild images when their dependencies change.

Microsoft describes this scenario as a way to automate OS and framework patching for container images.


25. Source-Code Triggers

ACR Tasks can integrate with source repositories.

For example:

Git commit
|
v
ACR Task
|
+-- Build
+-- Test
+-- Push

This provides a simple cloud-based container CI workflow.

A task can be configured to respond to commits and, depending on the configuration, pull-request activity in supported Git repositories.


26. Multi-Container Workflows

ACR Tasks becomes particularly valuable when an application contains multiple containers.

Suppose you have:

Web API
Worker
Test suite

You could define:

Build API
|
Build Worker
|
Run tests
|
Push API
|
Push Worker

Or independent builds could execute concurrently:

            +--> Build API -----+
            |                   |
START ------+                   +--> Test --> Push
            |                   |
            +--> Build Worker --+

Multi-step tasks are designed specifically for these types of workflows.


27. ACR Tasks and CI/CD

ACR Tasks can be incorporated into a broader CI/CD architecture.

For example:

Developer
|
v
Git Repository
|
v
ACR Task
|
+--> Build
|
+--> Test
|
+--> Push
|
v
Azure Container Registry
|
v
Container Apps / AKS / App Service

ACR Tasks is therefore not merely a command for building images. It can serve as a container lifecycle building block within an automated development process.


28. Accessing Other Registries

An ACR Task may need to access images or artifacts outside the registry where the task runs.

For example:

ACR Task
|
| Pull base image
v
External Registry

or:

ACR Task
|
| Push image
v
Another Registry

ACR Tasks supports authentication mechanisms for accessing protected resources.

Managed identities are particularly useful when an ACR Task needs to access other Azure resources without embedding credentials in the task definition.

Microsoft documents both system-assigned and user-assigned managed identities for ACR Tasks.


29. Managed Identities for ACR Tasks

An ACR Task can have a managed identity.

Two types are available:

System-assigned managed identity

The identity is associated with the specific ACR Task resource.

Its lifecycle is tied to that resource.

User-assigned managed identity

The identity is an independent Azure resource that can be assigned to multiple resources.

This can be useful when the same identity needs to be reused.

The key exam concept is:

Managed identities allow ACR Tasks to access protected Azure resources without embedding credentials in the task definition.


30. ACR Tasks and Azure Key Vault

ACR Tasks can also integrate with Azure Key Vault for scenarios where a task needs access to secrets.

A secure architecture might look like:

                 Azure Key Vault
                       |
                       | Secret
                       v
ACR Task ------ Managed Identity
                       |
                       v
                  Build/Test

This is preferable to hard-coding credentials into Dockerfiles, scripts, or task definitions.


31. Security Considerations

When designing ACR Task workflows:

Avoid putting secrets directly on command lines

Command-line arguments can potentially be captured by diagnostic or logging systems.

Avoid embedding credentials in Dockerfiles

A Dockerfile should not contain permanent passwords, tokens, or keys.

Prefer managed identities

When the target resource supports identity-based authentication, managed identities reduce credential-management overhead.

Use least privilege

Give the task only the permissions it needs.

Be careful with external registry credentials

If a task must access another private registry, configure authentication appropriately rather than placing credentials in source code.

Microsoft specifically warns that information supplied through command lines or URIs can appear in ACR diagnostic tracing, including sensitive values.


32. Task YAML Structure

A basic multi-step task looks like:

version: v1.1.0
steps:
- build: -t $Registry/orders-api:$ID .
- push:
- $Registry/orders-api:$ID

A more sophisticated task could look like:

version: v1.1.0
steps:
- id: build-api
build: -t $Registry/orders-api:$ID .
- id: test-api
cmd: $Registry/orders-api:$ID
when: ["build-api"]
- id: push-api
push:
- $Registry/orders-api:$ID
when: ["test-api"]

The key elements are:

ElementPurpose
versionYAML task format version
stepsDefines task operations
buildBuilds an image
pushPushes an image
cmdRuns a container
idGives a step an identifier
whenDefines dependencies
$RegistryRegistry run-variable alias
$IDRun ID alias

ACR Tasks currently supports YAML as the task-definition format.


33. A Complete Build-Test-Push Example

Consider an API application with:

Dockerfile
src/
tests/

A multi-step task could conceptually perform:

version: v1.1.0
steps:
- id: build
build: -t $Registry/orders-api:$ID .
- id: test
cmd: $Registry/orders-api:$ID
when: ["build"]
- id: push
push:
- $Registry/orders-api:$ID
when: ["test"]

The workflow becomes:

                  +----------------+
                  |     Source     |
                  +-------+--------+
                          |
                          v
                       BUILD
                          |
                          v
                    Container Image
                          |
                          v
                        TEST
                          |
                    Tests pass
                          |
                          v
                        PUSH
                          |
                          v
                         ACR

This is an excellent pattern to recognize in scenario-based questions.


34. az acr build Versus Multi-Step Tasks

A useful exam comparison is:

RequirementAppropriate approach
Build one image nowaz acr build
Build image without local Dockeraz acr build
Build and push a simple imageQuick task
Build and test an imageMulti-step task
Build several imagesMulti-step task
Run a container during a workflowcmd step
Push an image from a multi-step taskpush step
Trigger from Git commitAutomatically triggered ACR Task
Rebuild when base image changesBase-image trigger
Run periodicallyScheduled task

35. Common Exam Traps

Trap 1: Choosing Azure Container Instances

ACR Tasks is about building and managing container image workflows.

Azure Container Instances is primarily about running containers.

If the question says:

“Build a container image in Azure without installing Docker locally.”

Think:

ACR Tasks

not Azure Container Instances.


Trap 2: Confusing ACR with ACR Tasks

ACR is the registry.

ACR Tasks provides cloud-based build and automation capabilities.

Think:

ACR
↓
Store images
ACR Tasks
↓
Build/test/automate images

Trap 3: Assuming az acr run and az acr build are identical

They are not.

az acr build is designed for the quick cloud build scenario.

az acr run executes a task definition or command in the ACR Tasks environment.


Trap 4: Assuming every build automatically pushes an image

For a quick az acr build, the resulting image is pushed to the registry by default.

For an az acr run multi-step task, you should explicitly define a push step when you want to push the built image.

This distinction is explicitly documented in the ACR Tasks YAML reference.


Trap 5: Using cmd when you need to build an image

cmd runs a container.

build builds a container image.

Remember:

build → create image
cmd → run container
push → publish image

Trap 6: Ignoring the build context

The build context determines what files are available to the Docker build.

A Dockerfile alone isn’t necessarily sufficient if it references files from the context.


Trap 7: Putting secrets in the Dockerfile

Never assume that a secret belongs in:

ENV PASSWORD=...

or:

RUN some-command --password ...

Use appropriate Azure identity and secret-management mechanisms instead.


36. AI-200 Exam-Focused Review

Make sure you understand the following:

ACR Tasks

Cloud-based container build and automation capabilities.

Quick task

On-demand image build, commonly using:

az acr build

az acr run

Executes an ACR task workflow or command.

Build context

The files supplied to the container build.

build

Builds a container image.

push

Pushes an image to a registry.

cmd

Runs a container as part of a task.

when

Defines dependencies between task steps.

$Registry

Identifies the registry associated with the task run.

$ID

Identifies the current task run and can be used to generate unique tags.

Multi-step task

Supports complex workflows involving building, testing, running, and pushing containers.

Source trigger

Automatically runs a task when supported source-code changes occur.

Base-image trigger

Automatically rebuilds images when a base image changes.

Scheduled trigger

Runs tasks according to a schedule.

Managed identity

Allows a task to access protected Azure resources without embedding credentials.


37. The Mental Model to Remember

For AI-200, think of ACR Tasks as a cloud-based container build and automation engine attached to Azure Container Registry.

                    SOURCE
                       |
             +---------+---------+
             |                   |
          Dockerfile          Git Repo
             |                   |
             +---------+---------+
                       |
                       v
                  ACR TASK
                       |
          +------------+------------+
          |            |            |
        BUILD         CMD         PUSH
          |            |            |
          |          TEST           |
          |            |            |
          +------------+------------+
                       |
                       v
                  ACR IMAGE
                       |
                       v
             Container Service
        +----------+----------+
        |          |          |
       AKS    Container Apps  App Service

The most important distinction is:

ACR stores the image; ACR Tasks builds, tests, and automates the image lifecycle.


Practice Exam Questions

Question 1

A developer has a Dockerfile and application source code but does not have Docker installed locally. The developer needs to build the image in Azure and store it in an Azure Container Registry.

Which command should the developer use?

A. az container create

B. az acr repository create

C. az acr build

D. az aks create

Answer: C

Explanation: az acr build performs a cloud-based container image build using Azure Container Registry Tasks. The build occurs in Azure, so a local Docker Engine isn’t required for this scenario. The command can build and push the resulting image to ACR.


Question 2

A development team wants to create an automated workflow with the following steps:

  1. Build an API container image.
  2. Run the image.
  3. Execute functional tests.
  4. Push the image only if the tests succeed.

Which ACR Tasks capability should be used?

A. A multi-step task

B. ACR geo-replication

C. An ACR repository

D. An Azure Container Apps revision

Answer: A

Explanation: Multi-step ACR Tasks are designed for workflows that combine multiple container operations. The build, cmd, and push step types can be combined, and dependencies can be defined using the when property. This allows testing to occur before the image is pushed.


Question 3

An ACR Task contains the following YAML:

steps:
- id: build
build: -t $Registry/api:$ID .
- id: test
cmd: $Registry/api:$ID
when: ["build"]
- id: push
push:
- $Registry/api:$ID
when: ["test"]

What is the purpose of when: ["test"] on the final step?

A. It causes the push to run before testing

B. It causes the push to run concurrently with testing

C. It causes the push step to be skipped

D. It makes the push step dependent on successful completion of the test step

Answer: D

Explanation: The when property establishes dependencies between task steps. Here, the push step depends on the step identified as test, so it won’t execute until the test step completes successfully.


Question 4

An organization wants an ACR Task to automatically rebuild application images whenever a new version of a base image becomes available.

Which trigger should be configured?

A. A repository namespace trigger

B. A base-image update trigger

C. A container restart trigger

D. An Azure Monitor alert trigger

Answer: B

Explanation: ACR Tasks supports base-image update triggers. When the configured base image changes, the task can automatically rebuild the application image. This is particularly useful for incorporating updated operating-system and framework components.


Question 5

An ACR Task needs to execute two independent image builds at the same time. Which YAML configuration allows the steps to start without depending on another task step?

A. when: ["-"]

B. when: ["parallel"]

C. when: ["async"]

D. when: ["none"]

Answer: A

Explanation: In ACR Tasks, when: ["-"] indicates that the step has no dependency on another step and can begin immediately. This can allow independent steps to execute concurrently.


Question 6

A developer wants to create a unique container image tag for every ACR Task execution. Which ACR Tasks variable is specifically designed to identify the current task run?

A. $Branch

B. $Registry

C. $ID

D. $Architecture

Answer: C

Explanation: $ID is an ACR Tasks alias for the current run ID. It can be used to create unique image tags, such as:

-t $Registry/api:$ID

This is useful for distinguishing images produced by different task executions.


Question 7

A multi-step ACR Task has the following steps:

steps:
- build: -t $Registry/api:$ID .
- push:
- $Registry/api:$ID

What is the primary purpose of the push step?

A. Run the container

B. Upload the built image to a container registry

C. Compile the Dockerfile

D. Create an Azure Container Apps revision

Answer: B

Explanation: The push step publishes a built or retagged container image to a container registry. The build step creates the image; push publishes it.


Question 8

An organization wants an ACR Task to execute whenever developers commit code to a supported Git repository. Which capability should be configured?

A. A source-code trigger

B. An ACR retention policy

C. An ACR private endpoint

D. A container health probe

Answer: A

Explanation: ACR Tasks supports source-code triggers that can automatically execute builds or multi-step tasks when changes occur in supported Git repositories. This provides a simple mechanism for integrating container builds into a CI workflow.


Question 9

An ACR Task must access a protected Azure resource. The organization doesn’t want credentials embedded in the task definition.

Which approach provides the most appropriate Azure-native solution?

A. Store the credential in the Dockerfile

B. Put the password in the task’s command line

C. Use a managed identity for the ACR Task

D. Make the Azure resource publicly accessible

Answer: C

Explanation: ACR Tasks can use system-assigned or user-assigned managed identities to access protected resources without embedding credentials in task definitions. The identity must be granted the required permissions on the target resource.


Question 10

A developer executes:

az acr build \
--registry myregistry \
--image orders-api:v2 \
.

What does the final . represent?

A. The ACR registry name

B. The image tag

C. The Docker image digest

D. The build context

Answer: D

Explanation: The final . specifies the current directory as the build context. Files in the build context are made available to the Docker build process. The Dockerfile and files referenced during the build generally need to be available through the selected context.


Key Takeaways

For the AI-200 exam, remember these relationships:

ConceptRemember
ACRStores and manages container images
ACR TasksBuilds, runs, tests, and automates container workflows
az acr buildPerforms an on-demand cloud image build
az acr runRuns an ACR Tasks workflow/command
Build contextFiles supplied to the image build
buildCreates a container image
cmdRuns a container
pushPublishes an image to a registry
whenControls task-step dependencies
when: ["-"]Allows an independent step to start immediately
$IDCurrent task run identifier
$RegistryRegistry associated with the task
Multi-step taskBuild/test/run/push workflows
Source triggerRun when source code changes
Base-image triggerRebuild when a base image changes
Scheduled triggerRun according to a schedule
Managed identitySecure access without embedding credentials

The single most useful mental model for this objective is:

                  ACR TASKS
                      |
       +--------------+--------------+
       |              |              |
     BUILD           CMD            PUSH
       |              |              |
   Create image    Run/test       Publish image
       |              |              |
       +--------------+--------------+
                      |
                      v
                     ACR

And when the exam gives you a scenario, ask:

  1. Do I need to build an image in Azure? → az acr build / ACR Tasks
  2. Do I need multiple build/test/run operations? → Multi-step ACR Task
  3. Do I need to execute a container? → cmd
  4. Do I need to publish an image? → push
  5. Do steps have dependencies? → when
  6. Do independent steps need to run concurrently? → when: ["-"]
  7. Should builds happen automatically after source changes? → Source trigger
  8. Should images rebuild when a base image changes? → Base-image trigger
  9. Does the task need secure access to another Azure resource? → Managed identity
  10. Do I need unique image versions for task runs? → Use $ID in the image tag

These distinctions are especially important because AI-200 scenario questions are likely to test which ACR Tasks capability best fits a particular development or deployment requirement, rather than simply asking you to recall an individual command.


Go to the AI-200 Exam Prep Hub main page

Build, Store, Version, and Manage Container Images by Using Azure Container Registry (AI-200 Exam Prep)

This post is a part of the AI-200: Developing AI Cloud Solutions on Azure  Exam Prep Hub.
This topic falls under these sections:
Develop containerized solutions on Azure (20–25%)
   --> Implement container application hosting
      --> Build, store, version, and manage container images by using Azure Container Registry


Note that there are 10 practice questions (with answers) at the end of each section to help you solidify your knowledge of the material. Also, there are 4 practice tests with 30 questions each available from the hub's main page below the exam topics section.

Overview

Azure Container Registry (ACR) is a managed, private registry service in Azure for storing and managing container images and other OCI-compatible artifacts. It provides a central location from which containerized applications can obtain the images they need to run on services such as Azure App Service, Azure Container Apps, Azure Kubernetes Service (AKS), and Azure Container Instances.

For the AI-200: Developing AI Cloud Solutions on Azure exam, you should understand more than simply how to push an image into ACR. You should be comfortable with the hierarchy of registries, repositories, images, tags, manifests, and layers; image versioning strategies; building images using ACR Tasks; managing and deleting images; and selecting appropriate authentication and registry capabilities.

The current Microsoft Learn study guide specifically identifies this objective as part of Implement container application hosting. It also separately identifies ACR Tasks as an exam objective, so understanding how ACR stores images and how ACR Tasks builds them is particularly important.


1. What Is Azure Container Registry?

Azure Container Registry is a private container registry service hosted in Azure.

A container registry solves a fundamental problem in containerized application development:

Where do applications securely obtain the container images they need to run?

Instead of relying exclusively on a public registry, an organization can maintain its own private registry in Azure.

A typical workflow looks like this:

Developer
|
| Build container image
v
Docker / ACR Tasks
|
| Push
v
Azure Container Registry
|
+------------------+
| |
v v
Azure App Service AKS
| |
v v
Container Apps Container workloads

ACR provides capabilities for:

  • Storing container images
  • Storing OCI artifacts
  • Organizing images into repositories
  • Tagging and versioning images
  • Pushing and pulling images
  • Building images using ACR Tasks
  • Managing image metadata
  • Controlling access
  • Replicating images across regions
  • Integrating with Azure container services

Microsoft describes ACR as a private, managed registry that supports building, storing, and managing images for container deployments.


2. Understand the ACR Hierarchy

One of the most important concepts for AI-200 is understanding how ACR organizes container content.

The hierarchy can be thought of as:

Azure Container Registry
|
+-- Repository
| |
| +-- Image : Tag
| +-- Image : Tag
| +-- Image : Tag
|
+-- Repository
|
+-- Image : Tag
+-- Image : Tag

The important concepts are:

  1. Registry
  2. Repository
  3. Artifact/Image
  4. Tag
  5. Manifest
  6. Layer
  7. Digest

Understanding the distinctions between these concepts is a common source of exam questions.


2.1 Registry

The registry is the overall ACR resource.

For example:

contosoregistry.azurecr.io

The registry provides the endpoint through which clients push and pull container images.

A registry can contain many repositories.


2.2 Repository

A repository is a collection of related container images or artifacts.

For example:

contosoregistry.azurecr.io/customer-api

The repository could contain:

customer-api:v1
customer-api:v2
customer-api:v3

Repositories can also use namespaces:

contosoregistry.azurecr.io/marketing/campaign-api:v2

Namespaces help organize repositories logically, although they aren’t independent Azure resources or hierarchical security boundaries simply because they contain / characters.

Microsoft notes that repository names can include namespaces and are managed independently by the registry.


3. Container Image Tags

A tag provides a human-readable identifier for a particular version or variant of an image.

For example:

customer-api:v1
customer-api:v2
customer-api:2026-08-07
customer-api:production

The complete image reference might be:

contosoregistry.azurecr.io/customer-api:v2

The structure is:

<registry>/<repository>:<tag>

For example:

contosoregistry.azurecr.io/customer-api:v2

where:

ComponentValue
Registrycontosoregistry.azurecr.io
Repositorycustomer-api
Tagv2

Microsoft recommends using appropriate tagging strategies for deployment scenarios and notes that latest is used by default when no tag is specified in Docker commands.


4. Tagging and Versioning Strategies

Image versioning is extremely important for reliable deployments.

Consider:

customer-api:latest

This tag is convenient, but it does not necessarily identify an immutable version.

Suppose today’s latest points to:

Image A

and tomorrow the same tag is updated:

latest → Image B

A deployment configured to use latest may therefore receive a different image without its configuration changing.

For production deployments, a better approach is generally to use unique version identifiers.

Examples:

customer-api:v1.0.0
customer-api:v1.1.0
customer-api:v1.2.0

or:

customer-api:20260807.1
customer-api:20260807.2

or a source-control commit identifier:

customer-api:a81f42c

A useful pattern is:

latest → convenient development/testing reference
v1.4.2 → human-readable release
a81f42c → unique build identifier

Exam Tip

If a question asks how to ensure that a deployment consistently uses a specific image version, be cautious about answers using:

:latest

A unique tag or, even more strongly, an image digest provides better version specificity.


5. Image Digests

Container images are also identified by a digest.

For example:

contosoregistry.azurecr.io/customer-api@sha256:abc123...

A digest identifies the content associated with a manifest.

Compare:

customer-api:v2

with:

customer-api@sha256:abc123...

A tag can be moved to point to another image.

A digest identifies a specific content-addressed version.

Microsoft specifically notes that pulling by digest guarantees the image version being retrieved even if an identically tagged image is subsequently pushed.

Exam Tip

Remember:

Tag = human-friendly version reference

Digest = content-addressed, precise image reference


6. Container Image Layers

Container images consist of one or more layers.

Dockerfiles commonly create multiple layers.

For example:

FROM python:3.12
COPY requirements.txt .
RUN pip install -r requirements.txt
COPY app.py .

The resulting image is composed of layers.

One of the advantages of layers is reuse.

If two images share the same base layers, those layers don’t necessarily have to be independently stored and transferred each time.

This can reduce storage and transfer requirements.


7. Manifests

A container image is associated with a manifest.

The manifest contains information needed to identify the image and its layers.

Conceptually:

Image Manifest
|
+-- Configuration
|
+-- Layer 1
+-- Layer 2
+-- Layer 3

The manifest is also associated with the image’s digest.

This distinction matters when managing images in ACR.

For example, removing a tag doesn’t necessarily mean that all image data is immediately removed.

An untagged manifest and its associated layers may continue to consume storage until they are deleted and no longer referenced.

Microsoft specifically warns that repeatedly pushing modified artifacts with identical tags can create untagged artifacts that continue consuming registry storage.


8. Pushing an Image to ACR

A common workflow is:

Step 1: Build the image

docker build -t customer-api:v1 .

Step 2: Tag the image with the ACR login server

docker tag customer-api:v1 \
contosoregistry.azurecr.io/customer-api:v1

Step 3: Authenticate to ACR

az acr login --name contosoregistry

Step 4: Push the image

docker push \
contosoregistry.azurecr.io/customer-api:v1

The image is now stored in:

contosoregistry.azurecr.io/customer-api

with the tag:

v1

9. Pulling an Image

A client can pull the image by tag:

docker pull \
contosoregistry.azurecr.io/customer-api:v1

Or by digest:

docker pull \
contosoregistry.azurecr.io/customer-api@sha256:<digest>

The second approach provides stronger guarantees regarding exactly which image content is retrieved.


10. Azure Container Registry Tasks

One of the most important ACR features for AI-200 is ACR Tasks.

ACR Tasks allows container images to be built in Azure rather than requiring the developer to perform the build locally.

Microsoft describes ACR Tasks as a suite of capabilities for building, testing, and managing container images.

For example:

az acr build \
--registry contosoregistry \
--image customer-api:v1 \
--file Dockerfile .

The command:

  1. Sends the build context to Azure.
  2. Uses the Dockerfile.
  3. Builds the image in Azure.
  4. Tags the resulting image.
  5. Pushes the resulting image into the registry.

This is particularly useful when a developer doesn’t have Docker installed locally.

Microsoft’s current quickstart explicitly demonstrates building, pushing, and running an image using ACR Tasks without requiring a local Docker installation.


11. ACR Tasks Quick Tasks

A quick task is useful for an on-demand image build.

For example:

az acr build \
--registry contosoregistry \
--image customer-api:v1 \
.

This is useful during the development inner loop.

Instead of:

Developer machine
|
+-- docker build
+-- docker tag
+-- docker push

you can use:

Developer
|
| az acr build
v
Azure
|
+-- Build
+-- Tag
+-- Push
v
ACR

12. Automated ACR Tasks

ACR Tasks can also be configured to automatically execute when certain events occur.

For example:

Git commit
|
v
ACR Task
|
+-- Build image
+-- Test image
+-- Push image

ACR Tasks can also respond to base image updates.

For example, suppose an application uses:

FROM python:3.12

A base-image update can trigger an ACR Task to rebuild the application image.

This is useful for keeping application images current when their base images change.

Microsoft documents ACR Tasks triggers for Git commits and base-image updates.


13. Multi-Step ACR Tasks

ACR Tasks can execute more sophisticated workflows.

For example:

Build application image
|
v
Run application
|
v
Run test container
|
v
Push image

Multi-step tasks are defined using YAML.

A simplified example is:

version: v1.1.0
steps:
- build: -t $Registry/customer-api:$ID .
- push:
- $Registry/customer-api:$ID
- cmd: $Registry/customer-api:$ID

ACR Tasks supports three major step types:

StepPurpose
buildBuild a container image
pushPush an image to a registry
cmdRun a container as a command

Exam Tip

If a question describes a workflow that needs to build, test, and push multiple containers, think:

ACR Tasks multi-step task


14. ACR Tasks and External Registries

ACR Tasks can also interact with other registries.

For example, a task may need to:

ACR
|
+-- Pull base image from another registry
|
+-- Build application
|
+-- Push application image to ACR

Credentials can be configured for tasks when access to another registry is required.

For more secure scenarios, ACR Tasks can use managed identities to access protected Azure resources without embedding credentials directly in task definitions.


15. Authentication to Azure Container Registry

ACR is generally private, so clients need appropriate authentication and authorization to access it.

Common authentication approaches include:

  • Microsoft Entra identities
  • Managed identities
  • Service principals
  • Administrator credentials
  • Repository-scoped access mechanisms
  • Anonymous pull, where explicitly configured and supported

Microsoft’s documentation emphasizes that ACR operations such as push and pull require authentication unless anonymous pull is enabled.


16. Managed Identity and ACR

Managed identities are particularly important in Azure-native applications.

Suppose an AKS cluster needs to pull an image:

AKS
|
| Managed Identity
v
Azure Container Registry
|
v
customer-api:v1

Rather than storing a registry password in application configuration, the Azure resource can use a managed identity and appropriate permissions.

For a non-ABAC-enabled registry, a common pull-only role is:

AcrPull

For push and pull:

AcrPush

For ABAC-enabled registries, Microsoft documents repository-scoped roles such as:

Container Registry Repository Reader
Container Registry Repository Writer

The exact role depends on the registry’s authorization model.

Exam Tip

When the question says:

“An Azure service needs to pull images from ACR without storing credentials.”

Think:

Managed identity + appropriate ACR permissions


17. ACR Pricing Tiers

Azure Container Registry currently provides three pricing tiers:

  • Basic
  • Standard
  • Premium

The tiers provide increasing capacity and capabilities.

CapabilityBasicStandardPremium
Intended useLower-volume scenariosProduction scenariosHigh-volume/advanced scenarios
Included storage10 GiB100 GiB500 GiB
Geo-replicationNoNoYes
Private endpointsNoNoYes
Content trustNoNoYes
Customer-managed keysNoNoYes
Dedicated Tasks agent poolsNoNoYes
Higher throughput/concurrencyLowerMediumHigher

All three tiers provide core registry capabilities, while Premium adds advanced capabilities and higher limits.

Important Exam Distinction

If the requirement is:

“Replicate a registry across multiple Azure regions.”

Think:

Premium ACR

Geo-replication is a Premium feature.


18. Geo-Replication

Geo-replication allows an ACR to replicate its content across multiple Azure regions.

For example:

                 Azure Container Registry
                          |
             +------------+------------+
             |                         |
             v                         v
         East US                  West Europe
        Geo-replica               Geo-replica
             |                         |
             v                         v
          AKS US                  AKS Europe

When an image is pushed to the geo-replicated registry, its content is synchronized to the configured replicas.

The advantage is that applications can access images from regions closer to where they run.

Microsoft describes geo-replication as providing a single registry management experience while synchronizing content across selected regions.

Don’t confuse:

Availability zones and geo-replication.

Availability zones provide resilience across zones within a region.

Geo-replication distributes registry content across different Azure regions.

Current Microsoft documentation states that zone redundancy is enabled by default for ACR registries in supported regions across Basic, Standard, and Premium tiers.


19. Managing Images and Repositories

You can manage repositories and images through:

  • Azure portal
  • Azure CLI
  • REST APIs
  • SDKs
  • Docker/OCI tooling

For example, you can list repositories:

az acr repository list \
--name contosoregistry \
--output table

List tags:

az acr repository show-tags \
--name contosoregistry \
--repository customer-api \
--output table

You can also inspect manifests and image metadata.

The Azure portal exposes repositories and their image tags through the registry’s Repositories interface.


20. Deleting Images

Suppose a repository contains:

customer-api:v1
customer-api:v2
customer-api:v3

You can remove an image tag using Azure CLI.

For example:

az acr repository untag \
--name contosoregistry \
--image customer-api:v1

However, remember an important distinction:

Untagging an image does not necessarily immediately remove the underlying image data.

The manifest may become untagged while its layers continue consuming storage.

Microsoft specifically warns about the accumulation of untagged artifacts when images are repeatedly pushed using the same tags.


21. Retention of Untagged Manifests

ACR supports a retention policy for untagged manifests.

The purpose is to automatically remove untagged manifests after a configured period.

For example:

Image:v1
Image:v2
Image:v3

If v2 is removed:

Image:v2 → untagged manifest

A retention policy can eventually remove the untagged manifest.

The current Microsoft documentation identifies the untagged-manifest retention policy as a Premium feature and currently documents it as a preview feature. The policy can be configured for a retention period from 0 through 365 days.

Important Warning

If an application relies on pulling an image by its digest, automatically deleting untagged manifests can make that image unavailable.

This is an important operational consideration and a potential exam scenario.


22. Image Tagging Best Practices

A strong production tagging strategy should make image identification predictable.

A useful approach is to use multiple tags for different purposes.

For example:

customer-api:v2.4.1
customer-api:build-1847
customer-api:a81f42c

You might also maintain:

customer-api:production

as a deployment-oriented alias.

However, don’t rely on a mutable tag such as production or latest when you require immutable deployment behavior.

A good pattern is:

Human-readable release
+
Unique build identifier
+
Optional environment alias

For example:

customer-api:v2.4.1
customer-api:build-1847
customer-api:production

The production deployment can ultimately be pinned to a specific immutable image reference/digest.


23. Common ACR Mistakes

Mistake 1: Using latest for production deployments

latest can change.

Better: use unique version tags and/or digests.


Mistake 2: Assuming deleting a tag deletes the image immediately

An untagged manifest may continue consuming storage.

Better: understand manifests, layers, untagging, deletion, and retention.


Mistake 3: Giving every workload push permissions

An application that only needs to run an image generally doesn’t need permission to push images.

Better: follow least privilege.

For example:

Application → AcrPull
Build pipeline → AcrPush

Mistake 4: Storing registry passwords in application code

This creates unnecessary credential-management risks.

Better: use managed identities or another appropriate identity mechanism.


Mistake 5: Choosing Premium solely because it sounds better

Premium should be selected because its capabilities are required.

Examples include:

  • Geo-replication
  • Private endpoints
  • Content trust
  • Higher throughput
  • Advanced networking
  • Dedicated Tasks agent pools

Mistake 6: Confusing ACR with ACR Tasks

They are related but different concepts.

ACR:

Stores and manages container images.

ACR Tasks:

Builds, tests, and automates container image workflows.

A single ACR resource can therefore be used to store images while ACR Tasks provides the automation to build those images.


24. Important AI-200 Concepts to Know

For this exam objective, make sure you can explain the following without referring to documentation:

ConceptWhat you should know
Azure Container RegistryManaged private container registry
RegistryTop-level ACR resource
RepositoryCollection of related images/artifacts
TagHuman-readable image/version reference
DigestContent-addressed image reference
ManifestDescribes image/artifact and its layers
LayerComponent of a container image
az acr loginAuthenticates a client to ACR
docker pushUploads an image to ACR
docker pullDownloads an image from ACR
az acr buildBuilds an image using ACR Tasks
ACR TasksCloud-based image build/test automation
Multi-step taskBuild/test/push workflows using YAML
AcrPullPull permission for applicable non-ABAC registry scenarios
AcrPushPush/pull permission for applicable non-ABAC registry scenarios
Managed identityCredential-free Azure resource authentication
BasicEntry-level ACR tier
StandardHigher capacity production-oriented tier
PremiumAdvanced capabilities such as geo-replication/private endpoints
Geo-replicationReplicate registry content across regions
Retention policyAutomatically remove eligible untagged manifests

25. AI-200 Scenario Patterns to Recognize

The exam is likely to test your ability to choose the appropriate Azure capability based on a scenario.

Scenario: Build without Docker locally

Requirement: Developers don’t have Docker installed.

Answer: ACR Tasks / az acr build.


Scenario: Automatically rebuild after a Git commit

Requirement: Every source-code commit should trigger an image build.

Answer: ACR Task with a source-code trigger.


Scenario: Rebuild after base image updates

Requirement: Automatically rebuild application images when their base image changes.

Answer: ACR Tasks base-image trigger.


Scenario: Run the same image in several Azure regions

Requirement: Applications in multiple regions should access registry content efficiently.

Answer: ACR Premium with geo-replication.


Scenario: Application only needs to pull images

Requirement: A workload should retrieve images but shouldn’t be able to modify them.

Answer: Grant an appropriate pull-only role, such as AcrPull where applicable, or the appropriate repository reader role for an ABAC-enabled registry.


Scenario: Avoid credentials in application configuration

Requirement: An Azure-hosted application needs to access ACR without storing passwords.

Answer: Managed identity + appropriate registry permissions.


Scenario: Guarantee a specific image

Requirement: A deployment must always retrieve exactly the same image content.

Answer: Use an image digest rather than relying solely on a mutable tag.


26. Quick Review

The following mental model is useful for the exam:

                    AZURE CONTAINER REGISTRY
                             |
             +---------------+---------------+
             |                               |
        Repositories                    ACR Tasks
             |                               |
      +------+------+                  Build/Test/Push
      |             |
   Image          Image
      |             |
    Tags          Tags
      |             |
   Manifest      Manifest
      |
    Layers

And remember the major distinction:

ACR
↓
Store/manage images
ACR Tasks
↓
Build/test/automate images

For production deployments:

Avoid:
:latest
Prefer:
:v2.4.1
:build-1847
@sha256:<digest>

For authentication:

Azure workload
|
| Managed Identity
v
ACR
|
| Appropriate least-privilege role
v
Pull image

For global deployments:

ACR Premium
|
+---- Region 1
|
+---- Region 2
|
+---- Region 3

Practice Exam Questions

Question 1

A development team has a Dockerfile and wants to build a container image directly in Azure. Developers should not need Docker installed on their local computers. The resulting image should be pushed to Azure Container Registry.

Which Azure capability should you use?

A. Azure Container Registry Tasks

B. Azure App Service deployment slots

C. Azure Container Apps revisions

D. Azure Kubernetes Service Jobs

Answer: A

Explanation: Azure Container Registry Tasks can build container images in Azure using a Dockerfile. The az acr build command provides an on-demand build capability and can push the resulting image to ACR. A local Docker installation isn’t required for this workflow.


Question 2

An application image is stored as:

contosoregistry.azurecr.io/orders:v4

What does v4 represent?

A. The registry name

B. The image tag

C. The image digest

D. The repository namespace

Answer: B

Explanation: In an image reference such as:

registry/repository:tag

the portion after the colon is the tag. Therefore, v4 is the image tag. Tags are commonly used to identify image versions.


Question 3

A production application must always retrieve exactly the same container image content. Developers are concerned that a tag could later be reassigned to a different image.

Which image reference should the application use?

A. :latest

B. :production

C. :stable

D. @sha256:<digest>

Answer: D

Explanation: Tags can be moved to different image versions. A digest is a content-addressed identifier and can be used to pull a specific image version. Microsoft specifically identifies digest-based pulls as a way to guarantee the image version being retrieved.


Question 4

An organization deploys applications to Azure regions in North America and Europe. The organization wants container images to be replicated to both regions while maintaining a single ACR management experience.

Which ACR capability should be used?

A. Repository namespaces

B. Availability zones

C. Geo-replication

D. Image tags

Answer: C

Explanation: ACR geo-replication synchronizes registry content across selected Azure regions while allowing the organization to manage the registry as a single logical registry. Geo-replication is a Premium ACR capability.


Question 5

An AKS workload needs to pull private container images from ACR. The organization does not want to store registry passwords in Kubernetes configuration.

Which approach is most appropriate?

A. Use a managed identity with appropriate ACR permissions

B. Store the ACR administrator password in the container image

C. Make the repository publicly accessible

D. Embed an ACR password in the application source code

Answer: A

Explanation: Azure resources can use managed identities to authenticate to ACR without storing credentials in application code or configuration. The identity must be granted the appropriate pull permissions.


Question 6

A development team wants an automated container workflow that performs the following:

  1. Builds an application image.
  2. Runs a test container.
  3. Builds another image.
  4. Pushes the resulting images.

Which ACR capability should the team use?

A. ACR repository namespaces

B. ACR multi-step Tasks

C. ACR geo-replication

D. ACR anonymous pull

Answer: B

Explanation: ACR Tasks supports multi-step workflows using YAML. The workflow can build, run/test, and push one or more images. The available step types include build, push, and cmd.


Question 7

An organization repeatedly pushes new builds using the same image tag. After several months, the registry contains significant amounts of storage that cannot be explained by the currently tagged images.

What is the most likely explanation?

A. ACR automatically creates a new repository for every push

B. Geo-replication is duplicating every image within the same region

C. Previous manifests became untagged while their image data remained in the registry

D. ACR stores every Dockerfile indefinitely

Answer: C

Explanation: Repeatedly pushing modified images using the same tag can result in previous manifests becoming untagged. Their layers can continue consuming registry storage until the underlying content is deleted.


Question 8

A company needs to automatically rebuild its application container whenever a new version of the application’s base container image becomes available.

Which capability should be configured?

A. Azure App Service deployment slots

B. ACR geo-replication

C. ACR repository tagging

D. An ACR Task with a base-image update trigger

Answer: D

Explanation: ACR Tasks can automatically trigger builds when a base image is updated. This is useful for rebuilding application images when their underlying base images change.


Question 9

An organization requires private connectivity to its Azure Container Registry through Azure Private Link. Which ACR pricing tier supports this capability?

A. Premium

B. Basic

C. Standard

D. All three tiers

Answer: A

Explanation: Azure Container Registry Premium supports private endpoints through Private Link. Basic and Standard do not provide this capability according to the current ACR SKU documentation.


Question 10

An administrator removes the v1 tag from an image in an ACR repository. The administrator assumes that the underlying image data has immediately been removed from the registry.

Which statement is correct?

A. Removing a tag always immediately deletes every associated layer

B. Removing a tag converts the image automatically into a public image

C. Removing a tag deletes the entire repository

D. The manifest can become untagged while its data continues consuming storage

Answer: D

Explanation: Removing a tag can leave the manifest untagged while its associated data remains in the registry. Untagged artifacts can continue consuming storage until they are deleted. ACR provides mechanisms such as retention policies for eligible untagged manifests.


Final AI-200 Takeaways

For this particular AI-200 objective, concentrate on these distinctions:

Azure Container Registry

Store and manage container images and artifacts.

ACR repository

Organizes related images.

Tag

Human-readable version/reference that can be reassigned.

Digest

Content-addressed identifier for a specific image version.

Manifest

Describes the image/artifact and its layers.

ACR Tasks

Build, test, and automate container image workflows.

az acr build

Perform an on-demand cloud-based container build.

Multi-step ACR Task

Build/test/push multiple images or perform multi-stage workflows.

Managed identity

Authenticate Azure workloads to ACR without managing passwords.

AcrPull

Pull permission for applicable non-ABAC registry scenarios.

AcrPush

Push/pull permission for applicable non-ABAC registry scenarios.

Premium

Required for capabilities such as geo-replication and private endpoints.

Geo-replication

Replicate registry content across Azure regions.

Retention

Help clean up eligible untagged manifests.

The most important exam mindset is to distinguish where the image is stored, how it is identified, how it is built, and how the workload is authorized to retrieve it. Those four dimensions—registry/repository, tag/digest, ACR Tasks, and authentication/RBAC—cover a large portion of the practical knowledge behind this objective.


Go to the AI-200 Exam Prep Hub main page