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DP-600 Practice Questions

Question # 1
You need to recommend which type of fabric capacity SKU meets the data analytics requirements for the Research division. What should you recommend?
A. EM
B. F
C. P
D. A


B. F


Question # 2
You have a Microsoft Power Bl semantic model that contains measures. The measures use multiple calculate functions and a filter function. You are evaluating the performance of the measures. In which use case will replacing the filter function with the keepfilters function reduce execution time?
A. when the filter function uses a nested calculate function
B. when the filter function references a column from a single table that uses Import mode
C. when the filter function references columns from multiple tables
D. when the filter function references a measure


A. when the filter function uses a nested calculate function

Explanation:

The KEEPFILTERS function modifies the way filters are applied in calculations done through the CALCULATE function. It can be particularly beneficial to replace the FILTER function with KEEPFILTERS when the filter context is being overridden by nested CALCULATE functions, which may remove filters that are being applied on a column. This can potentially reduce execution time because KEEPFILTERS maintains the existing filter context and allows the nested CALCULATE functions to be evaluated more efficiently.

References: This information is based on the DAX reference and performance optimization guidelines in the Microsoft Power BI documentation.

Question # 3
You need to implement the date dimension in the data store. The solution must meet the technical requirements. What are two ways to achieve the goal? Each correct answer presents a complete solution. NOTE: Each correct selection is worth one point.
A. Populate the date dimension table by using a dataflow.
B. Populate the date dimension table by using a Stored procedure activity in a pipeline.
C. Populate the date dimension view by using T-SQL.
D. Populate the date dimension table by using a Copy activity in a pipeline.


A. Populate the date dimension table by using a dataflow.
B. Populate the date dimension table by using a Stored procedure activity in a pipeline.


Question # 4
You have a Fabric tenant tha1 contains a takehouse named Lakehouse1. Lakehouse1 contains a Delta table named Customer.

When you query Customer, you discover that the query is slow to execute. You suspect that maintenance was NOT performed on the table.

You need to identify whether maintenance tasks were performed on Customer.

Solution: You run the following Spark SQL statement:

REFRESH TABLE customer

Does this meet the goal?

A. Yes
B. No


B. No

Explanation:

No, the REFRESH TABLE statement does not provide information on whether maintenance tasks were performed. It only updates the metadata of a table to reflect any changes on the data files. References = The use and effects of the REFRESH TABLE command are explained in the Spark SQL documentation.

Question # 5
You need to refresh the Orders table of the Online Sales department. The solution must meet the semantic model requirements. What should you include in the solution?
A. an Azure Data Factory pipeline that executes a dataflow to retrieve the minimum value of the OrderlD column in the destination lakehouse
B. an Azure Data Factory pipeline that executes a Stored procedure activity to retrieve the maximum value of the OrderlD column in the destination lakehouse
C. an Azure Data Factory pipeline that executes a dataflow to retrieve the maximum value of the OrderlD column in the destination lakehouse
D. an Azure Data Factory pipeline that executes a Stored procedure activity to retrieve the minimum value of the OrderiD column m the destination lakehouse


C. an Azure Data Factory pipeline that executes a dataflow to retrieve the maximum value of the OrderlD column in the destination lakehouse


Question # 6
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).


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.

Question # 7
You have a Fabric tenant that contains a semantic model. The model contains 15 tables. You need to programmatically change each column that ends in the word Key to meet the following requirements:

• Hide the column.
• Set Nullable to False.
• Set Summarize By to None
• Set Available in MDX to False.
• Mark the column as a key column.

What should you use?
A. Microsoft Power Bl Desktop
B. Tabular Editor
C. ALM Toolkit
D. DAX Studio


B. Tabular Editor

Explanation:

Tabular Editor is an advanced tool for editing Tabular models outside of Power BI Desktop that allows you to script out changes and apply them across multiple columns or tables. To accomplish the task programmatically, you would:

Open the model in Tabular Editor.

Create an Advanced Script using C# to iterate over all tables and their respective columns.

Within the script, check if the column name ends with 'Key'.

For columns that meet the condition, set the properties accordingly: IsHidden = true, IsNullable = false, SummarizeBy = None, IsAvailableInMDX = false.

Additionally, mark the column as a key column.

Save the changes and deploy them back to the Fabric tenant.

References: The ability to batch-edit properties using scripts in Tabular Editor is well-documented in the tool's official documentation and user community resources.


Question # 8
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


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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Microsoft DP-600 Exam Dumps

Exam Name: Implementing Analytics Solutions Using Microsoft Fabric
Certification Name: Microsoft Certified:Fabric Analytics Engineer Associate

Microsoft DP-600 exam dumps are created by industry top professionals and after that its also verified by expert team. We are providing you updated Implementing Analytics Solutions Using Microsoft Fabric exam questions answers. We keep updating our Microsoft Certified:Fabric Analytics Engineer Associate practice test according to real exam. So prepare from our latest questions answers and pass your exam.

  • Total Questions: 101
  • Last Updation Date: 20-Nov-2024

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