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 DP-600 Dumps with Practice Exam Questions Answers

Questions: 80 questions

Last Update: Jun 19, 2024

DP-600 Question Includes: Single Choice Questions: 41, Multiple Choice Questions: 13, Hotspot: 19, Drag Drop: 7,

DP-600 Exam Last Week Results!

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Microsoft DP-600

85%

Average Score In Real
Exam At Testing Centre

95%

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DP-600 Questions and Answers

Question # 1

You have a Fabric tenant that contains a Microsoft Power Bl report named Report 1. Report1 includes a Python visual. Data displayed by the visual is grouped automatically and duplicate rows are NOT displayed. You need all rows to appear in the visual. What should you do?

A.

Reference the columns in the Python code by index.

B.

Modify the Sort Column By property for all columns.

C.

Add a unique field to each row.

D.

Modify the Summarize By property for all columns.

Question # 2

You have a Fabric tenant that contains a machine learning model registered in a Fabric workspace. You need to use the model to generate predictions by using the predict function in a fabric notebook. Which two languages can you use to perform model scoring? Each correct answer presents a complete solution. NOTE: Each correct answer is worth one point.

A.

T-SQL

B.

DAX EC.

C.

Spark SQL

D.

PySpark

Question # 3

You have a Fabric tenant that contains a semantic model. The model contains data about retail stores.

You need to write a DAX query that will be executed by using the XMLA endpoint The query must return a table of stores that have opened since December 1,2023.

How should you complete the DAX expression? To answer, drag the appropriate values to the correct targets. Each value may be used once, more than once, or not at all. You may need to drag the split bar between panes or scroll to view content.

NOTE: Each correct selection is worth one point.

Question # 4

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.show()

Does this meet the goal?

A.

Yes

B.

No

Question # 5

You have a Fabric tenant named Tenant1 that contains a workspace named WS1. WS1 uses a capacity named C1 and contains a dawset named DS1. You need to ensure read-write access to DS1 is available by using the XMLA endpoint. What should be modified first?

A.

the DS1 settings

B.

the WS1 settings

C.

the C1 settings

D.

the Tenant1 settings