AI-103, Microsoft Certification

AI-103: Develop AI Apps and Agents on Azure – Practice Exam #4 (30 questions with answers)

30 Practice Questions with Answers and Explanations

Question 1

You are deploying a generative AI application that must respond consistently with minimal randomness.

Which parameter should you LOWER?

A. Frequency penalty
B. Max tokens
C. Temperature
D. Top-p

Answer

C. Temperature

Explanation

Lower temperature values produce more deterministic and predictable outputs.

Question 2

You need to detect whether uploaded images contain inappropriate or unsafe content.

Which capability should you implement?

A. Content moderation
B. OCR
C. Named Entity Recognition
D. Translation

Answer

A. Content moderation

Question 3

You need to preserve semantic continuity between adjacent chunks in a retrieval pipeline.

Which technique should you use?

A. Metadata suppression
B. Chunk overlap
C. Token truncation
D. OCR masking

Answer

B. Chunk overlap

Question 4

MULTIPLE ANSWER — Which capabilities are commonly associated with Azure AI Search? (Choose THREE)

A. VPN tunneling
B. Semantic ranking
C. Hybrid search
D. DHCP management
E. Vector indexing

Answer

B. Semantic ranking
C. Hybrid search
E. Vector indexing

Question 5

You need to extract printed and handwritten text from scanned insurance forms.

Which service is MOST appropriate?

A. Azure AI Vision only
B. Azure AI Document Intelligence
C. Azure DNS
D. Azure Route Server

Answer

B. Azure AI Document Intelligence

Question 6

MATCHING — Match the concept to its description.

ConceptDescription
Semantic search?
Embeddings?
Grounding?

Options:

  • Numeric semantic representations
  • Providing trusted external context
  • Searching by intent and meaning

Answer

ConceptDescription
Semantic searchSearching by intent and meaning
EmbeddingsNumeric semantic representations
GroundingProviding trusted external context

Question 7

You need an AI system that can:

  • Retrieve knowledge
  • Use tools
  • Execute actions
  • Maintain conversational state

What type of architecture is this?

A. Static FAQ system
B. Batch ETL workflow
C. Relational reporting system
D. Agentic AI architecture

Answer

D. Agentic AI architecture

Question 8

You need to identify positive and negative sentiment in social media posts.

Which capability should you use?

A. OCR
B. Sentiment analysis
C. Image segmentation
D. Face detection

Answer

B. Sentiment analysis

Question 9

FILL IN THE BLANK

A vector representation of semantic meaning is called an __________.

Answer

embedding

Question 10

You need to identify products, organizations, and locations within customer emails.

Which capability should you implement?

A. Translation
B. Named Entity Recognition
C. OCR masking
D. Image tagging

Answer

B. Named Entity Recognition

Question 11

You need to securely authenticate between Azure resources without storing secrets.

Which feature should you use?

A. Managed identities
B. Shared passwords
C. Public access keys
D. Anonymous authentication

Answer

A. Managed identities

Question 12

You are implementing a chatbot that retrieves enterprise documents before generating responses.

Which architecture should you implement?

A. Static response architecture
B. Relational replication architecture
C. Retrieval-Augmented Generation (RAG)
D. Batch transformation architecture

Answer

C. Retrieval-Augmented Generation (RAG)

Question 13

HOTSPOT — Select the BEST capability for each requirement.

RequirementCapability
Convert speech into text?
Detect vehicles in images?
Summarize long reports?

Options:

  • Text summarization
  • Speech-to-text
  • Object detection

Answer

RequirementCapability
Convert speech into textSpeech-to-text
Detect vehicles in imagesObject detection
Summarize long reportsText summarization

Question 14

You need to process:

  • Audio
  • Images
  • Documents
  • Video

What type of AI system is this?

A. Lexical AI system
B. Multimodal AI system
C. Relational AI system
D. Sequential AI system

Answer

B. Multimodal AI system

Question 15

MULTIPLE ANSWER — Which techniques commonly improve retrieval relevance? (Choose THREE)

A. Metadata enrichment
B. Disabling ranking
C. Semantic chunking
D. Removing embeddings
E. Hybrid retrieval

Answer

A. Metadata enrichment
C. Semantic chunking
E. Hybrid retrieval

Question 16

You need to preserve document reading order, headings, and tables during extraction.

Which capability is MOST important?

A. OCR only
B. Layout analysis
C. Sentiment analysis
D. Speech synthesis

Answer

B. Layout analysis

Question 17

You need to orchestrate workflows between Azure AI services and external APIs using a low-code solution.

Which Azure service should you use?

A. Azure Traffic Manager
B. Azure Firewall
C. Azure Logic Apps
D. Azure Bastion

Answer

C. Azure Logic Apps

Question 18

You are building a search solution that retrieves content using both keywords and semantic similarity.

What type of search is this?

A. Sequential search
B. OCR search
C. Hybrid search
D. Static indexing

Answer

C. Hybrid search

Question 19

DRAG AND DROP — Match the Azure service to its primary functionality.

ServiceFunctionality
Azure AI Vision?
Azure AI Search?
Azure OpenAI Service?

Options:

  • Search and vector retrieval
  • Image analysis
  • Generative AI models

Answer

ServiceFunctionality
Azure AI VisionImage analysis
Azure AI SearchSearch and vector retrieval
Azure OpenAI ServiceGenerative AI models

Question 20

You need to monitor:

  • API failures
  • Latency
  • Request throughput

Which Azure service should you use?

A. Azure Backup
B. Azure DNS
C. Azure Monitor
D. Azure Site Recovery

Answer

C. Azure Monitor

Question 21

You are building a solution that extracts invoice numbers and totals from PDFs.

Which Azure service should you use?

A. Azure AI Document Intelligence
B. Azure Front Door
C. Azure Virtual WAN
D. Azure Load Balancer

Answer

A. Azure AI Document Intelligence

Question 22

MULTIPLE ANSWER — Which are common benefits of grounding AI responses? (Choose THREE)

A. Reduced hallucinations
B. Improved factual accuracy
C. Better enterprise relevance
D. Elimination of chunking
E. Removal of embeddings

Answer

A. Reduced hallucinations
B. Improved factual accuracy
C. Better enterprise relevance

Question 23

You need an AI assistant to execute actions such as:

  • Creating tickets
  • Sending emails
  • Calling APIs

Which feature enables this?

A. OCR preprocessing
B. Layout analysis
C. Image classification
D. Function calling

Answer

D. Function calling

Question 24

You need to automatically categorize support tickets into departments.

Which capability should you implement?

A. Text classification
B. Face recognition
C. Translation
D. Object tracking

Answer

A. Text classification

Question 25

FILL IN THE BLANK

The process of splitting large documents into smaller retrievable sections is called __________.

Answer

chunking

Question 26

You need to improve search filtering by storing attributes such as:

  • Department
  • Security level
  • Region

Which technique should you implement?

A. OCR normalization
B. Token deletion
C. Metadata enrichment
D. Vector truncation

Answer

C. Metadata enrichment

Question 27

You need to build an AI application that retrieves semantically similar documents.

Which capability should you use?

A. DNS forwarding
B. Vector search
C. Blob replication
D. VPN routing

Answer

B. Vector search

Question 28

You are implementing an enterprise AI retrieval system that must enforce document-level permissions.

Which approach should you use?

A. Shared administrator accounts
B. Anonymous indexes
C. Public blob access
D. Security trimming with RBAC

Answer

D. Security trimming with RBAC

Question 29

You need to identify forklifts and pallets within warehouse images.

Which computer vision capability should you implement?

A. OCR
B. Translation
C. Object detection
D. Sentiment analysis

Answer

C. Object detection

Question 30

You need to generate semantic vectors used for retrieval pipelines.

Which Azure service is MOST commonly used?

A. Azure OpenAI Service
B. Azure DNS
C. Azure Firewall
D. Azure Backup

Answer

A. Azure OpenAI Service

Explanation

Azure OpenAI embedding models generate semantic vectors that support:

  • Vector search
  • Similarity matching
  • Hybrid retrieval
  • RAG pipelines

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