Microsoft DP-600 : Implementing Analytics Solutions Using Microsoft Fabric

  • Exam Code: DP-600
  • Exam Name: Implementing Analytics Solutions Using Microsoft Fabric
  • Updated: Oct 11, 2026
  • Q & A: 212 Questions and Answers

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Microsoft DP-600 Exam Overview:
Certification Vendor:Microsoft
Exam Name:Implementing Analytics Solutions Using Microsoft Fabric
Exam Number:DP-600
Exam Duration:120 minutes
Certificate Validity Period:1 year (renewable via Microsoft certification renewal)
Passing Score:700 (out of 1000)
Related Certifications:DP-900
DP-203
PL-300
Exam Price:$165 USD (varies by country)
Real Exam Qty:40-60
Exam Format:Drag and drop, Scenario-based questions, Multiple choice, Case studies
Available Languages:Portuguese (Brazil), Korean, English, Spanish, Simplified Chinese, German, French, Japanese
Recommended Training:Microsoft Fabric Documentation
DP-600 Learning Path (Microsoft Learn)
Exam Registration:Microsoft Certification Dashboard
Pearson VUE Microsoft Exams
Sample Questions:Free Download DP-600 Test Exam Cram
Exam Way:Online proctored exam or in-person at Pearson VUE test centers
Pre Condition:No formal prerequisites required, but familiarity with data analytics, Power BI, and Azure data services is recommended.
Official Syllabus URL:https://learn.microsoft.com/credentials/certifications/fabric-analytics-engineer/
Microsoft DP-600 Exam Syllabus Topics:
SectionObjectives
Topic 1: Implement analytics solutions- Data warehousing and modeling
  • 1. Fabric Warehouse
    • 2. Semantic models for Power BI
      Topic 2: Get data into Microsoft Fabric- Data ingestion and integration
      • 1. Dataflows Gen2
        • 2. Data pipelines in Microsoft Fabric
          Topic 3: Implement data engineering solutions- Lakehouse architecture
          • 1. Spark notebooks in Fabric
            • 2. Delta tables management
              Topic 4: Real-time analytics- Streaming and event processing
              • 1. Eventstreams in Microsoft Fabric
                • 2. Kusto Query Language (KQL) analytics
                  Topic 5: Manage and secure Microsoft Fabric- Governance and administration
                  • 1. Monitoring and compliance
                    • 2. Security and access control

                      DP-600 Exam Practice Questions FAQ

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                      The Microsoft Implementing Analytics Solutions Using Microsoft Fabric exam contains 40-60 questions, and you will have 120 minutes minutes to complete them. Simulating that combination in advance turns exam-day pacing into a habit.

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                      This package includes 212 practice questions for the Microsoft Implementing Analytics Solutions Using Microsoft Fabric exam. Every answer is verified by an experienced team of experts, so you can trust what you study.

                      The Microsoft Implementing Analytics Solutions Using Microsoft Fabric exam requires a score of 700 (out of 1000) to pass, and the official registration fee is $165 USD (varies by country). Knowing both figures before you begin helps you plan your preparation realistically.

                      You can register for the Microsoft Implementing Analytics Solutions Using Microsoft Fabric exam through the official channels:

                      The Microsoft Implementing Analytics Solutions Using Microsoft Fabric exam is scored on a scale where 700 (out of 1000) is required to pass, and the official exam fee is $165 USD (varies by country).

                      No formal prerequisites required, but familiarity with data analytics, Power BI, and Azure data services is recommended.

                      You can confirm the current eligibility requirements on the official DP-600 exam page before you register.

                      The Microsoft Implementing Analytics Solutions Using Microsoft Fabric practice questions are organized around the official exam objectives. Key topics include:

                      • Real-time analytics ()
                      • Implement data engineering solutions ()
                      • Manage and secure Microsoft Fabric ()

                      Your practice results against these topics show you exactly where to spend your next session.

                      Microsoft Implementing Analytics Solutions Using Microsoft Fabric Sample Questions:
                      Question #1

                      You have a Fabric eventhouse named Eventhousel that contains a table named Weatherdata. A sample of the data in Weatherdata is shown in the following table.

                      You plan to use a KQL queryset to manipulate the data in Eventhouse1. The result set must have the following columns.

                      You need to build the query.
                      Which four KQL statements should you use in sequence? To answer, move the appropriate statements from the list of statements to the answer area and arrange them in the correct order.

                      Reveal Solution  Discussion  0

                      Correct Answer:


                      Explanation:

                      Comprehensive Detailed Explanation
                      Step 1: Understanding the requirement
                      We need a KQL query that:
                      Reads data from Weatherdata.
                      Orders by Datetime.
                      Calculates Delta_temperature as the difference between the current row and the preceding row.
                      Returns the final columns: Datetime, Lat, Long, Temperature, Delta_temperature.
                      Step 2: Evaluate the provided statements
                      Weatherdata # Starts the query with the source table.
                      | sort by Datetime asc # Ensures chronological order, required for prev() to work correctly.
                      | extend Delta_temperature = Temperature - prev(Temperature) # Computes difference between the current row and the previous row's temperature.
                      | project Datetime, Lat, Long, Temperature, Delta_temperature # Selects the required output columns.
                      Step 3: Incorrect choices (to avoid)
                      next(Temperature,1) # Would calculate the difference with the next row, not the previous.
                      prev(Temperature,2) # Would skip one row, giving the difference with two rows back, which is not needed.
                      summarize ... by Datetime # Aggregates the data; not required here since we just need row-level differences.
                      Step 4: Final Correct Sequence
                      Weatherdata
                      | sort by Datetime asc
                      | extend Delta_temperature = Temperature - prev(Temperature)
                      | project Datetime, Lat, Long, Temperature, Delta_temperature
                      References
                      prev() function in KQL
                      extend operator in KQL
                      project operator in KQL

                      Question #2

                      You have a Fabric workspace that contains a Dataflow Gen2 query. The query returns the following data.

                      You need to filter the results to ensure that only the latest version of each customer ' s record is retained. The solution must ensure that no new columns are loaded to the semantic model.
                      Which four actions should you perform in sequence in Power Query Editor? To answer, move the appropriate actions from the list of actions to the answer area and arrange them in the correct order.

                      Reveal Solution  Discussion  0

                      Correct Answer:


                      Explanation:

                      Comprehensive Detailed Explanation
                      We have a table with:
                      CustomerID # unique ID
                      CustomerName # customer's name
                      VersionDate # timestamp representing version history
                      The requirement:
                      Keep only the latest record per customer.
                      Ensure no new technical columns (like max version date) remain in the semantic model.
                      Step 1: Identify latest version per customer
                      We need to determine the latest VersionDate for each CustomerID.
                      Use Group By CustomerID and calculate Max of VersionDate.
                      This creates a mapping of CustomerID # latest VersionDate.
                      Step 2: Filter to keep only latest records
                      Join or filter original data so that only rows with VersionDate = Max(VersionDate) are retained.
                      This ensures that only the most recent record is kept per customer.
                      Step 3: Remove the helper column
                      The column holding Max VersionDate is only needed for filtering.
                      It must be removed because the requirement is that no new columns are loaded to the semantic model.
                      Step 4: Remove duplicates
                      As a final safeguard, remove duplicates by CustomerID, ensuring that each customer appears only once.
                      Final Ordered Actions
                      Group by CustomerID and calculate the max version date per customer ID.
                      Filter the query where the version date value equals the max version date value.
                      Remove the max version date column.
                      Remove duplicates based on CustomerID.

                      Question #3

                      You have a query in Power Query Editor that contains two columns named Order_Date and Shipping_Date.
                      You need to create a column that will calculate the number of days between Order_Date and Shipping_Date for each row.
                      Which Power Query function should you use?

                      • A. Date.AddDays
                      • B. DateTime.LocalNow
                      • C. Duration.From
                      • D. Duration.Days
                      Reveal Solution  Discussion  0

                      Correct Answer: D  🗳️

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                      Question #4

                      You have a Fabric tenant that contains a workspace named Workspace^ Workspacel is assigned to a Fabric capacity.
                      You need to recommend a solution to provide users with the ability to create and publish custom Direct Lake semantic models by using external tools. The solution must follow the principle of least privilege.
                      Which three actions in the Fabric Admin portal should you include in the recommendation? Each correct answer presents part of the solution.
                      NOTE: Each correct answer is worth one point.

                      • A. From the Tenant settings, set Allow XMLA Endpoints and Analyze in Excel with on-premises datasets to Enabled
                      • B. From the Tenant settings, select Users can edit data models in the Power Bl service.
                      • C. From the Capacity settings, set XMLA Endpoint to Read Write
                      • D. From the Tenant settings, set Users can create Fabric items to Enabled
                      • E. From the Tenant settings, set Allow Azure Active Directory guest users to access Microsoft Fabric to Enabled
                      • F. From the Tenant settings, enable Publish to Web
                      Reveal Solution  Discussion  0

                      Correct Answer: A,B,C  🗳️

                      Explanation: Only visible for Test4Cram members. You can sign-up / login (it's free).

                      Question #5

                      You have a Fabric semantic model named Modell that contains a table named Sales Sales contains one million tows and uses Import storage mode Model1 includes 50 DAX formulas that reference the Sales table and two DAX measures named Sales Quantity and Sales Quantity LY and 15 other measures.
                      For each of the following statements, select Yes if the statement is true. Otherwise, select No.
                      NOTE: Each correct selection is worth one point.

                      Reveal Solution  Discussion  0

                      Correct Answer:


                      Explanation:

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