Microsoft Fabric Analytics Engineer (DP-600)
Unlimited DP-600 practice exam retakes, each drawn fresh from a question pool weighted by the official exam domains — planning & managing a data analytics solution, preparing & serving data, implementing & managing semantic models, and exploring & analyzing data in Microsoft Fabric.
Exam mode Default
100-minute timer, flag for review and a review screen before you submit — just like test day.
Practice mode
See the correct answer, the exam domain and a full explanation after every question.
What you get
- A 195-question pool — every attempt draws 65 fresh questions weighted by the official exam domains
- Unlimited retakes, lifetime access
- Score report by exam domain, with your score trend over time
- Answer review with explanations and reference links
- Original, blueprint-aligned questions — never exam dumps
Ready to sit the real DP-600 exam?
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Exam domains
Every attempt draws questions in these official proportions. Open a domain to see the subtopics it covers.
Plan, Implement, and Manage a Solution for Data Analytics27%
- Implement workspace-level access controls
- Implement item-level access controls
- Implement row-level, column-level, object-level, and file-level access control
- Apply sensitivity labels to items and endorse items
- Configure version control for a workspace
- Create and configure deployment pipelines
- Perform impact analysis of downstream dependencies
- Deploy and manage semantic models by using the XMLA endpoint
Prepare and Serve Data46%
- Create a data connection
- Discover data by using OneLake catalog and Real-Time hub
- Ingest or access data as needed
- Choose between different data stores
- Create views, functions, and stored procedures
- Implement a star schema for a lakehouse or warehouse
- Denormalize, aggregate, merge, or join data
- Identify and resolve duplicate data, missing data, or null values
Implement and Manage Semantic Models27%
- Choose a storage mode
- Implement relationships, such as bridge tables and many-to-many relationships
- Write DAX calculations using variables, iterators, table filtering, and windowing
- Implement calculation groups, dynamic format strings, and field parameters
- Design and build composite models
- Implement performance improvements in queries and report visuals
- Configure Direct Lake, including default fallback and refresh behavior
- Implement incremental refresh for semantic models
Explore and Analyze Data0%
- Select, filter, and aggregate data by using the Visual query editor
- Select, filter, and aggregate data by using SQL
- Select, filter, and aggregate data by using KQL
- Select, filter, and aggregate data by using DAX
References
- Official exam page:learn.microsoft.com
- Official study guide:learn.microsoft.com
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