Direct Lake and storage modes for semantic models

DP-600 · Implement and manage semantic models · Updated

Compare Import, DirectQuery, Direct Lake and composite models, and know how fallback and Direct Lake behavior are configured in Fabric.

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The first 2 DP-600 lessons are free. Full access opens every lesson with its practice questions, and the exam-style DP-600 question bank.

In this lesson
  • Storage modes compared
  • How Direct Lake works
  • Fallback to DirectQuery
  • Performance features for Import and composite models
  • Large models and scale-out
  • Exam traps
  • Practice questions

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DP-600 course outline

All 6 lessons · Course overview
  1. Git integration and deployment pipelines in FabricMaintain a data analytics solution Free
  2. Workspace roles, XMLA endpoint and monitoring in FabricMaintain a data analytics solution Free
  3. Lakehouse or warehouse and loading data in FabricPrepare data Full access
  4. Delta tables, Spark and Power Query transformationsPrepare data Full access
  5. Direct Lake and storage modes for semantic modelsImplement and manage semantic models Full access
  6. Model design, DAX and dynamic formattingImplement and manage semantic models Full access