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Microsoft Certified: Fabric Analytics Engineer Associate DP-700 Release Date

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Total 142 questions

Implementing Data Engineering Solutions Using Microsoft Fabric Questions and Answers

Question 5

You have a Fabric warehouse named DW1 that contains four staging tables named ProductCategory, ProductSubcategory, Product, and SalesOrder. ProductCategory, ProductSubcategory, and Product are used often in analytical queries.

You need to implement a star schema for DW1. The solution must minimize development effort.

Which design approach should you use? To answer, select the appropriate options in the answer area.

NOTE: Each correct selection is worth one point.

Options:

Question 6

You have a Fabric workspace named Workspace1 that contains a warehouse named DW1 and a data pipeline named Pipeline1.

You plan to add a user named User3 to Workspace1.

You need to ensure that User3 can perform the following actions:

View all the items in Workspace1.

Update the tables in DW1.

The solution must follow the principle of least privilege.

You already assigned the appropriate object-level permissions to DW1.

Which workspace role should you assign to User3?

Options:

A.

Admin

B.

Member

C.

Viewer

D.

Contributor

Question 7

You have a Fabric lakehouse that contains the resources shown in the following table.

You need to use a notebook to query for customers in the United States and load the filtered data into USCustomers. The solution must minimize the number of scripts used.

Which statement should you use?

Options:

A.

customers.write.format( " parquet " ).mode( " append " ).saveAsTable( " USCustomers " )

B.

customers.write.format( " delta " ).mode( " overwrite " ).save( " Tables/USCustomers " )

C.

customers.write.format( " delta " ).mode( " overwrite " ).saveAsTable( " USCustomers " )

D.

customers.write.format( " parquet " ).mode( " append " ).save( " Tables/USCustomers " )

Question 8

Note: This question is part of a series of questions that present the same scenario. Each question in the series contains a unique solution that might meet the stated goals. Some question sets might have more than one correct solution, while others might not have a correct solution.

After you answer a question in this section, you will NOT be able to return to it. As a result, these questions will not appear in the review screen.

You have a Fabric eventstream that loads data into a table named Bike_Location in a KQL database. The table contains the following columns:

BikepointID

Street

Neighbourhood

No_Bikes

No_Empty_Docks

Timestamp

You need to apply transformation and filter logic to prepare the data for consumption. The solution must return data for a neighbourhood named Sands End when No_Bikes is at least 15. The results must be ordered by No_Bikes in ascending order.

Solution: You use the following code segment:

Does this meet the goal?

Options:

A.

Yes

B.

no

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Total 142 questions