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My learningMicrosoft Fabric Interview QuestionsLesson 17
What happens when Direct Lake falls back to DirectQuery

Lesson 17

What happens when Direct Lake falls back to DirectQuery

In Power BI, Direct Lake mode is designed to read data directly from OneLake (Delta tables) with near in-memory performance. But in some situations, it cannot fully serve data from OneLake, so it “falls back” to DirectQuery.

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Curriculum

20 lessons · 38m

0/20 lessons done38m left
  1. 0101:59

    What is Microsoft Fabric, and what business or technical problems does it solve?

    01:59

  2. 0201:54

    What are the Core Workloads in Microsoft Fabric

    01:54

  3. 0301:47

    What is OneLake and Why is it Central to Microsoft Fabric

    01:47

  4. 0401:58

    How is OneLake Different from Azure Data Lake Storage

    01:58

  5. 0501:51

    Explain Microsoft Fabric's Licensing and Capacity Model

    01:51

  6. 0601:54

    What Data Format Does Microsoft Fabric Use, and Why Does It Matter

    01:54

  7. 0702:01

    What is the Difference Between a Lakehouse and a Warehouse in Microsoft Fabric?

    02:01

  8. 0801:53

    When Would You Choose a Lakehouse Over a Warehouse in Microsoft Fabric

    01:53

  9. 0901:56

    What is the SQL Analytics Endpoint of a Lakehouse in Microsoft Fabric

    01:56

  10. 1001:49

    What Are Shortcuts in OneLake

    01:49

  11. 1102:05

    What is Mirroring in Microsoft Fabric and Why is it Useful

    02:05

  12. 1201:50

    How does Fabric Spark differ from Azure Databricks

    01:50

  13. 1301:46

    What is Direct Lake mode in Power BI

    01:46

  14. 1401:50

    Import vs DirectQuery vs Direct Lake

    01:50

  15. 1501:51

    What is V-Order and how does it relate to Direct Lake performance

    01:51

  16. 1601:54

    What is a Semantic Model in Microsoft Fabric

    01:54

  17. 01:53

    What happens when Direct Lake falls back to DirectQuery

    01:53

  18. 1801:58

    How does Power BI integrate with the rest of Microsoft Fabric

    01:58

  19. 1902:03

    What does Data Factory in Microsoft Fabric provide, and how does it relate to Azure Data Factory

    02:03

  20. 2001:53

    Difference between a Data Pipeline and Dataflow Gen2 in Microsoft Fabric

    01:53