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Microsoft DP-600 Exam Sample Questions

Question # 1

Which of the following components is most commonly used for data ingestion in Microsoft Fabric?

A. Power BI

B. Azure Synapse Analytics

C. Data Factory

D. Databricks

Answer

C. Data Factory

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Question # 2

You have a Fabric tenant that contains a semantic model. The model uses Direct Lake mode. You suspect that some DAX queries load unnecessary columns into memory. You need to identify the frequently used columns that are loaded into memory. What are two ways to achieve the goal? Each correct answer presents a complete solution. NOTE: Each correct answer is worth one point.

A. Use the Analyze in Excel feature.

B. Use the Vertipaq Analyzer tool.

C. Query the $system.discovered_STORAGE_TABLE_COLUMN-iN_SEGMeNTS dynamic management view (DMV).

D. Query the discover_hehory6Rant dynamic management view (DMV).

Answer

B. Use the Vertipaq Analyzer tool.
C. Query the $system.discovered_STORAGE_TABLE_COLUMN-iN_SEGMeNTS dynamic management view (DMV).

Explanation:

The Vertipaq Analyzer tool (B) and querying the $system.discovered_STORAGE_TABLE_COLUMNS_IN_SEGMENTS dynamic management view (DMV) (C) can help identify which columns are frequently loaded into memory. Both methods provide insights into the storage and retrieval aspects of the semantic model. References = The Power BI documentation on Vertipaq Analyzer and DMV queries offers detailed guidance on how to use these tools for performance analysis.

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Question # 3

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

A. a data lake

B. a warehouse

C. a lakehouse

D. an external Hive metaStore

Answer

C. a lakehouse

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Question # 4

You have a Fabric tenant that contains a semantic model. You need to prevent report creators from populating visuals by using implicit measures. What are two tools that you can use to achieve the goal? Each correct answer presents a complete solution. NOTE: Each correct answer is worth one point.

A. Microsoft Power BI Desktop

B. Tabular Editor

C. Microsoft SQL Server Management Studio (SSMS)

D. DAX Studio

Answer

A. Microsoft Power BI Desktop
B. Tabular Editor

Explanation:

Microsoft Power BI Desktop (A) and Tabular Editor (B) are the tools you can use to prevent report creators from using implicit measures. In Power BI Desktop, you can define explicit measures which can be used in visuals. Tabular Editor allows for advanced model editing, where you can enforce the use of explicit measures. References = Guidance on using explicit measures and preventing implicit measures in reports can be found in the Power BI and Tabular Editor official documentation.

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Question # 5

You have a Fabric tenant that contains a new semantic model in OneLake. You use a Fabric notebook to read the data into a Spark DataFrame. You need to evaluate the data to calculate the min, max, mean, and standard deviation values for all the string and numeric columns. Solution: You use the following PySpark expression: df.explain() Does this meet the goal?

A. Yes

B. No

Answer

B. No

Explanation:

The df.explain() method does not meet the goal of evaluating data to calculate statistical functions. It is used to display the physical plan that Spark will execute. References = The correct usage of the explain() function can be found in the PySpark documentation.

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