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Microsoft DP-700 Exam With Confidence Using Practice Dumps

Exam Code:
DP-700
Exam Name:
Implementing Data Engineering Solutions Using Microsoft Fabric
Vendor:
Questions:
150
Last Updated:
Oct 28, 2026
Exam Status:
Stable
Microsoft DP-700

DP-700: Microsoft Certified: Fabric Data Engineer Associate Exam 2025 Study Guide Pdf and Test Engine

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Implementing Data Engineering Solutions Using Microsoft Fabric Questions and Answers

Question 1

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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Question 2

You have a Fabric workspace named Workspace1. Your company acquires GitHub licenses.

You need to configure source control for Workpace1 to use GitHub. The solution must follow the principle of least privilege. Which permissions do you require to ensure that you can commit code to GitHub?

Options:

A.

Actions (Read and write) and Contents (Read and write)

B.

Actions (Read and write) only

C.

Contents (Read and write) only

D.

Contents (Read) and Commit statuses (Read and write)

Question 3

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.