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Exam Overview
Exam Code DP-600
Exam Name Implementing Analytics Solutions Using Microsoft Fabric
Vendor Microsoft
Total Questions 140
Last Updated 26-Oct, 2026
Free DP-600 Questions Get Premium Access
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Free DP-600 Practice Questions

Explore 4 free practice questions for the Microsoft DP-600 exam and review the answers and explanations to support your preparation.

  1. Question 1

    Single answer

    Which type of data store should you recommend in the AnalyticsPOC workspace?

    • Option A:
      a data lake
      Correct
    • Option B:
      a warehouse
      Correct
    • Option C:
      a lakehouse
      Correct
    • Option D:
      an external Hive metaStore
      Correct
    Show Answer & Explanation Hide Answer & Explanation

    Correct Answer: C

    Explanation

    A lakehouse (C) should be recommended for the AnalyticsPOC workspace. It combines the
    capabilities of a data warehouse with the flexibility of a data lake. A lakehouse supports semistructured
    and unstructured data and allows for T-SQL and Python read access, fulfilling the technical 
    requirements outlined for Litware. Reference = For further understanding, Microsoft's
    documentation on the lakehouse architecture provides insights into how it supports various data
    types and analytical operations

  2. Question 2

    Single answer

    What should you recommend using to ingest the customer data into the data store in the
    AnatyticsPOC workspace?

    • Option A:
      a stored procedure
      Correct
    • Option B:
      a pipeline that contains a KQL activity
      Correct
    • Option C:
      a Spark notebook
      Correct
    • Option D:
      a dataflow
      Correct
    Show Answer & Explanation Hide Answer & Explanation

    Correct Answer: D

    Explanation

    For ingesting customer data into the data store in the AnalyticsPOC workspace, a dataflow (D) should
    be recommended. Dataflows are designed within the Power BI service to ingest, cleanse, transform,
    and load data into the Power BI environment. They allow for the low-code ingestion and
    transformation of data as needed by Litware's technical requirements. Reference = You can learn
    more about dataflows and their use in Power BI environments in Microsoft's Power BI
    documentation.

  3. Question 3

    Drag & Drop

    You need to resolve the issue with the pricing group classification.
    How should you complete the T-SQL statement? To answer, select the appropriate options in the
    answer area.
    NOTE: Each correct selection is worth one point.

    Show Answer & Explanation Hide Answer & Explanation

    Correct Answer


    Explanation


    You should use CREATE VIEW to make the pricing group logic available for T-SQL queries.
    The CASE statement should be used to determine the pricing group based on the list price.
    The T-SQL statement should create a view that classifies products into pricing groups based on the
    list price. The CASE statement is the correct conditional logic to assign each product to the
    appropriate pricing group. This view will standardize the pricing group logic across different
    databases and semantic models.

  4. Question 4

    Drag & Drop

    HOTSPOT
    You to need assign permissions for the data store in the AnalyticsPOC workspace. The solution must
    meet the security requirements.
    Which additional permissions should you assign when you share the data store? To answer, select the
    appropriate options in the answer area.
    NOTE: Each correct selection is worth one point.

    Show Answer & Explanation Hide Answer & Explanation

    Correct Answer


    Explanation

    Data Engineers: Read All SQL analytics endpoint data
    Data Analysts: Read All Apache Spark The permissions for the data store in the AnalyticsPOC workspace should align with the principle of
    least privilege:
    Data Engineers need read and write access but not to datasets or reports.
    Data Analysts require read access specifically to the dimensional model objects and the ability to
    create Power BI reports.
    Data Scientists need read access via Spark notebooks. These settings ensure each role has the
    necessary permissions to fulfill their responsibilities without exceeding their required access level.