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Microsoft Updated DP-700 Exam Questions and Answers by katie

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Microsoft DP-700 Exam Overview :

Exam Name: Implementing Data Engineering Solutions Using Microsoft Fabric
Exam Code: DP-700 Dumps
Vendor: Microsoft Certification: Microsoft Certified: Fabric Data Engineer Associate
Questions: 129 Q&A's Shared By: katie
Question 16

You need to ensure that the data analysts can access the gold layer lakehouse.

What should you do?

Options:

A.

Add the DataAnalyst group to the Viewer role for WorkspaceA.

B.

Share the lakehouse with the DataAnalysts group and grant the Build reports on the default semantic model permission.

C.

Share the lakehouse with the DataAnalysts group and grant the Read all SQL Endpoint data permission.

D.

Share the lakehouse with the DataAnalysts group and grant the Read all Apache Spark permission.

Discussion
Question 17

You need to recommend a solution to resolve the MAR1 connectivity issues. The solution must minimize development effort. What should you recommend?

Options:

A.

Add a ForEach activity to the data pipeline.

B.

Configure retries for the Copy data activity.

C.

Configure Fault tolerance for the Copy data activity.

D.

Call a notebook from the data pipeline.

Discussion
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Question 18

You need to ensure that WorkspaceA can be configured for source control. Which two actions should you perform?

Each correct answer presents part of the solution. NOTE: Each correct selection is worth one point.

Options:

A.

Assign WorkspaceA to Capl.

B.

From Tenant setting, set Users can synchronize workspace items with their Git repositories to Enabled

C.

Configure WorkspaceA to use a Premium Per User (PPU) license

D.

From Tenant setting, set Users can sync workspace items with GitHub repositories to Enabled

Discussion
Question 19

You need to schedule the population of the medallion layers to meet the technical requirements.

What should you do?

Options:

A.

Schedule a data pipeline that calls other data pipelines.

B.

Schedule a notebook.

C.

Schedule an Apache Spark job.

D.

Schedule multiple data pipelines.

Discussion
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