Welcome to the DP-700: Implementing Data Engineering Solutions Using Microsoft Fabric Exam Prep Hub!
Welcome to the one-stop hub with information for preparing for the DP-700: Implementing Data Engineering Solutions Using Microsoft Fabric certification exam. The content for this exam helps you to demonstrate that “you have conceptual knowledge of AI solutions in Azure and the foundational technical skills to work with them”. You will also need “knowledge of Python coding syntax and programming techniques, and you should be familiar with Azure resources”.
Upon successful completion of the exam, you earn the Microsoft Certified: Fabric Data Engineer Associate certification.
This hub provides information directly here (topic-by-topic as outlined in the official study guide), links to a number of external resources, tips for preparing for the exam, practice tests, and section questions to help you prepare. Bookmark this page and use it as a guide to ensure that you are fully covering all relevant topics for the DP-700 exam and making use of as many of the resources available as possible.
Audience profile (from Microsoft’s site)
As a candidate for this exam, you should have subject matter expertise with data loading patterns, data architectures, and orchestration processes. Your responsibilities for this role include:
Ingesting and transforming data.
Securing and managing an analytics solution.
Monitoring and optimizing an analytics solution.
You work closely with analytics engineers, architects, analysts, and administrators to design and deploy data engineering solutions for analytics.
You should be skilled at manipulating and transforming data by using Structured Query Language (SQL), PySpark, and Kusto Query Language (KQL).
Skills at a glance (as specified in the official study guide)
- Implement and manage an analytics solution (30–35%)
- Ingest and transform data (30–35%)
- Monitor and optimize an analytics solution (30–35%)
Topic-by-Topic Exam Content
[click a topic link to access the content and practice questions for that topic]
Implement and manage an analytics solution (30–35%)
Configure Microsoft Fabric workspace settings
- Configure Spark workspace settings
- Configure domain workspace settings
- Configure OneLake workspace settings
- Configure Dataflows Gen2 workspace settings
Implement lifecycle management in Fabric
Configure security and governance
- Implement workspace-level access controls
- Implement item-level access controls
- Implement row-level, column-level, object-level, and folder/file-level access controls
- Implement dynamic data masking
- Apply sensitivity labels to items
- Endorse items
- Implement and use Microsoft Fabric audit logs
- Configure and implement OneLake security
Orchestrate processes
- Choose between Dataflow gen 2, a pipeline and a notebook
- Design and implement schedules and event-based triggers
- Implement orchestration patterns with notebooks and pipelines, including parameters and dynamic expressions
Ingest and transform data (30–35%)
Design and implement loading patterns
- Design and implement full and incremental data loads
- Prepare data for loading into a dimensional model
- Design and implement a loading pattern for streaming data
Ingest and transform batch data
- Choose an appropriate data store
- Choose between Dataflows Gen2, notebooks, KQL, and T-SQL for data transformation
- Create and manage OneLake shortcuts
- Implement mirroring
- Ingest data by using pipelines
- Transform data by using PySpark, SQL, and KQL
- Denormalize data
- Group and aggregate data
- Handle duplicate, missing, and late-arriving data
Ingest and transform streaming data
- Choose an appropriate streaming engine
- Choose between native tables and OneLake shortcuts in Real-Time Intelligence
- Choose between Query acceleration for OneLake shortcuts and standard OneLake shortcuts in Real-Time Intelligence
- Process data by using Eventstreams
- Process data by using Spark structured streaming
- Process data by using KQL
- Create windowing functions
Monitor and optimize an analytics solution (30–35%)
Monitor Fabric items
Identify and resolve errors
- Identify and resolve pipeline errors
- Identify and resolve Dataflow Gen2 errors
- Identify and resolve notebook errors
- Identify and resolve Eventhouse errors
- Identify and resolve Eventstream errors
- Identify and resolve T-SQL errors
- Identify and resolve OneLake shortcut errors
Optimize performance
- Optimize a Lakehouse table
- Optimize a pipeline
- Optimize a data warehouse
- Optimize Eventstreams and Eventhouses
- Optimize Spark performance
- Optimize query performance
DP-700 Practice Exams
DP-700 Practice Exam #1 (30 questions with answers)
DP-700 Practice Exam #2 (30 questions with answers)
DP-700 Practice Exam #3 (30 questions with answers)
DP-700 Practice Exam #4 (30 questions with answers)
Important DP-700 Resources
- Link to the free, comprehensive, self-paced course on Microsoft Learn:
Implement data engineering solutions using Microsoft Fabric
The course has 5 modules:
(1) Ingest data with Microsoft Fabric
https://learn.microsoft.com/en-us/training/paths/ingest-data-with-microsoft-fabric/
(2) Implement a Lakehouse with Microsoft Fabric
https://learn.microsoft.com/en-us/training/paths/implement-lakehouse-microsoft-fabric/
(3) Implement Real-Time Intelligence with Microsoft Fabric
https://learn.microsoft.com/en-us/training/paths/explore-real-time-analytics-microsoft-fabric/
(4) Implement a data warehouse with Microsoft Fabric
https://learn.microsoft.com/en-us/training/paths/work-with-data-warehouses-using-microsoft-fabric/
(5) Manage a Microsoft Fabric environment
https://learn.microsoft.com/en-us/training/paths/manage-microsoft-fabric-environment/
- Link to certification page and study guide:
– Link to the certification page: Microsoft Certified: Fabric Data Engineer Associate
– Link to the study guide: DP-700: Implementing Data Engineering Solutions Using Microsoft Fabric - YouTube resources:
– DP-700 Full Course (19 episodes) by Microsoft Learn: DP-700 Full Course by Microsoft Learn
– DP-700 Exam Preparation with Will: https://www.youtube.com/playlist?list=PLug2zSFKZmV2Ue5udYFeKnyf1Jj0-y5Gy
– DP-700 Full Course by Aleksi Partanen: https://www.youtube.com/playlist?list=PLlqsZd11LpUES4AJG953GJWnqUksQf8x2
- A course on Udemy that you might be interested in: Microsoft DP-700 prep: Fabric Data Engineer Associate
(Of the many DP-700 courses available on Udemy, this was the highest rated at the time this was posted)
Good luck to you on your data journey!
The Data Community 