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  1. Home
  2. Microsoft Certification
  3. DP-600 Exam
  4. Microsoft.DP-600.v2026-10-12.q204 Dumps
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Question 21

You have a Microsoft Power Bl project that contains a semantic model. You plan to use Azure DevOps for version control.
You need to modify the .gitignore file to prevent the data values from the data sources from being pushed to the repository. Which file should you reference?

Correct Answer: D
When using Power BI Project (.pbip) with Git integration:
The .pbip project separates model metadata (schema, measures, relationships, etc.) from actual data values.
The localSettings.json file stores machine-specific and environment-specific settings, including data source credentials and local configurations. These should not be checked into version control to avoid exposing sensitive information or environment-specific configs.
Other options:
unappliedChanges.json # tracks unsaved changes, not data values.
model.bim # defines the semantic model schema (measures, relationships, metadata) and must be included in version control.
cache.abf # stores Analysis Services cache data, not part of source control.
Therefore, the correct file to exclude is localSettings.json.
Reference:
Power BI Projects and Git integration
localSettings.json in PBIP projects
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Question 22

Hotspot Question
You have a Fabric tenant that contains a warehouse named WH1.
You run the following T-SQL query against WH1.

For each of the following statements, select Yes if the statement is true. Otherwise, select No.
NOTE: Each correct selection is worth one point.

Correct Answer:
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Question 23

You have a Fabric warehouse that contains a table named Staging.Sales. Staging.Sales contains the following columns.

You need to write a T-SQL query that will return data for the year 2023 that displays ProductID and ProductName arxl has a summarized Amount that is higher than 10,000. Which query should you use?

Correct Answer: B
The correct query to use in order to return data for the year 2023 that displays ProductID, ProductName, and has a summarized Amount greater than 10,000 is Option B.
The reason is that it uses the GROUP BY clause to organize the data by ProductID and ProductName and then filters the result using the HAVING clause to only include groups where the sum of Amount is greater than 10,000. Additionally, the DATEPART(YEAR, SaleDate) = '2023' part of the HAVING clause ensures that only records from the year 2023 are included. Reference = For more information, please visit the official documentation on T-SQL queries and the GROUP BY clause at T-SQL GROUP BY.
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Question 24

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

Correct Answer: C
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 semi-structured 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.
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Question 25

You have a Fabric tenant that contains 30 CSV files in OneLake. The files are updated daily.
You create a Microsoft Power Bl semantic model named Modell that uses the CSV files as a data source. You configure incremental refresh for Model 1 and publish the model to a Premium capacity in the Fabric tenant.
When you initiate a refresh of Model1, the refresh fails after running out of resources.
What is a possible cause of the failure?

Correct Answer: D
A possible cause for the failure is that query folding is NOT occurring (D). Query folding helps optimize refresh by pushing down the query logic to the source system, reducing the amount of data processed and transferred, hence conserving resources. References = The Power BI documentation on incremental refresh and query folding provides detailed information on this topic.
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