All 3 domains
10 official functional groups
50–64 hrs suggested study
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Domain 01
30–35%
Setting up and running a Microsoft Fabric analytics solution: Spark, domain, OneLake and data workflow settings, Git-based lifecycle management, layered security and governance, and orchestration with pipelines, notebooks, schedules and triggers.
Inside this domain
- Configure Microsoft Fabric workspace settings
- Implement lifecycle management in Fabric
- Configure security and governance
- Orchestrate processes
Watch for Viewer is always safe
- Functional groups
- 4
Read the domain guide →
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Domain 02
30–35%
Moving and shaping data in Microsoft Fabric: full and incremental loading patterns, dimensional model preparation, choosing stores and transformation tools, shortcuts and mirroring, batch transforms in PySpark, SQL and KQL, and streaming with eventstreams, Spark and KQL.
Inside this domain
- Design and implement loading patterns
- Ingest and transform batch data
- Ingest and transform streaming data
Watch for Shortcut for a SQL database
- Functional groups
- 3
Read the domain guide →
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Domain 03
30–35%
Keeping Fabric workloads healthy: monitoring ingestion, transformation and semantic model refresh, configuring alerts, diagnosing errors across six item types, and optimizing lakehouse tables, pipelines, warehouses, real-time items, Spark and queries.
Inside this domain
- Monitor Fabric items
- Identify and resolve errors
- Optimize performance
Watch for VACUUM for speed
- Functional groups
- 3
Read the domain guide →
Domain names, weights and functional groups come from Microsoft's official outline (DP-700 study guide on Microsoft Learn, page last updated 2026-10-30 (current)). Question counts and study hours are editorial planning estimates, not official figures. Last reviewed October 2026.