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Microsoft Implementing Data Engineering Solutions Using Microsoft Fabric : DP-700 Exam

DP-700 Exam Questions
  • Exam Code: DP-700
  • Exam Name: Implementing Data Engineering Solutions Using Microsoft Fabric
  • Updated: Oct 28, 2026
  • Q & A: 154 Questions and Answers
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Microsoft DP-700 exam demo

Microsoft DP-700 Exam Syllabus Topics:

TopicDetails
Topic 1
  • Monitor and optimize an analytics solution: This section of the exam measures the skills of Data Analysts in monitoring various components of analytics solutions in Microsoft Fabric. It focuses on tracking data ingestion, transformation processes, and semantic model refreshes while configuring alerts for error resolution. One skill to be measured is identifying performance bottlenecks in analytics workflows.
Topic 2
  • Ingest and transform data: This section of the exam measures the skills of Data Engineers that cover designing and implementing data loading patterns. It emphasizes preparing data for loading into dimensional models, handling batch and streaming data ingestion, and transforming data using various methods. A skill to be measured is applying appropriate transformation techniques to ensure data quality.
Topic 3
  • Implement and manage an analytics solution: This section of the exam measures the skills of Microsoft Data Analysts regarding configuring various workspace settings in Microsoft Fabric. It focuses on setting up Microsoft Fabric workspaces, including Spark and domain workspace configurations, as well as implementing lifecycle management and version control. One skill to be measured is creating deployment pipelines for analytics solutions.

Reference: https://learn.microsoft.com/en-us/credentials/certifications/exams/dp-700/

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Microsoft Implementing Data Engineering Solutions Using Microsoft Fabric Sample Questions:

Question #1

Workspace1 contains a semantic model named Model1 and a report named Report1. Report1 is bound to Model1.
You modify Report1 and Model1.
You need to deploy the updated Report1 to Test. The solution must meet the following requirements:
* Ensure that Report1 remains bound to Model1 in Test.
* Minimize the number of items deployed.
What should you do?

  • A. Switch to flat list view, select Report1 only, and deploy the selected item.
  • B. Stay in folder view, select Report1 and Model1, and deploy the selected items.
  • C. From Development, select Deploy, and then select Test as the target.
  • D. Switch to flat list view, select Report1, use Select related , and deploy the selected items.
Reveal Solution  Discussion  0

Correct Answer: D  🗳️

Explanation: Only visible for RealExamFree members. You can sign-up / login (it's free).

Question #2

DRAG DROP
You have a Fabric eventhouse that contains a KQL database. The database contains a table named TaxiData.
The following is a sample of the data in TaxiData.

You need to build two KQL queries. The solution must meet the following requirements:
One of the queries must partition RunningTotalAmount by VendorID.
The other query must create a column named FirstPickupDateTime that shows the first value of each hour from tpep_pickup_datetime partitioned by payment_type.
How should you complete each query? To answer, drag the appropriate values 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.

Reveal Solution  Discussion  0

Correct Answer:


Explanation:

Partition the RunningTotalAmount by VendorID. - Row_cumsum
The Row_cumsum function computes the cumulative sum of a column while optionally restarting the accumulation based on a condition. In this case, it calculates the cumulative sum of total_amount for each VendorID, restarting when the VendorID changes (VendorID != prev(VendorID)).

Create a column FirstPickupDateTime that shows the first value of each hour from tpep_pickup_datetime, partitioned by payment_type - Row_window_session

Question #3

You are building a data loading pattern by using a Fabric data pipeline. The source is an Azure SQL database that contains 25 tables. The destination is a lakehouse.
In a warehouse, you create a control table named Control.Object as shown in the exhibit. (Click the Exhibit tab.) You need to build a data pipeline that will support the dynamic ingestion of the tables listed in the control table by using a single execution.
Which three actions should you perform in sequence? To answer, move the appropriate actions from the list of actions to the answer area and arrange them in the correct order.

Reveal Solution  Discussion  0

Correct Answer:


Explanation:

Question #4

You need to schedule the population of the medallion layers to meet the technical requirements.
What should you do?

  • 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.
Reveal Solution  Discussion  0

Correct Answer: A  🗳️

Explanation: Only visible for RealExamFree members. You can sign-up / login (it's free).

Question #5

You have a Fabric workspace named WS1 that has the following configurations:
Contains a custom Apache Spark pool named PoolA that is the default pool Contains a custom environment named Env1 that is the default environment Has Customize compute configurations for items set to Off Has high concurrency mode enabled WS1 contains a notebook named Notebook1 that is attached to Env1. The first cell in Notebook1 contains the following text.
%pip install
For each of the following statements, select Yes if the statement is true. Otherwise, select No.
NOTE: Each correct selection is worth one point.

Reveal Solution  Discussion  0

Correct Answer:


Explanation:

Viewing page 1 out of 31 pages.
Viewing questions 1-5 out of 154 questions.

3%

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