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DP-700 Pack
Vendor: Microsoft
Exam Code: DP-700
Exam Name: Implementing Data Engineering Solutions Using Microsoft Fabric
Exam Questions: 106
Last Updated: January 7, 2026
Related Certifications: Fabric Data Engineer Associate
Exam Tags: Data engineering, Data management Intermediate Level Microsoft Data Analysts and Engineers
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Free Microsoft DP-700 Exam Actual Questions

Question No. 1

You have an Azure subscription that contains a blob storage account named sa1. Sa1 contains two files named Filelxsv and File2.csv.

You have a Fabric tenant that contains the items shown in the following table.

You need to configure Pipeline1 to perform the following actions:

* At 2 PM each day, process Filel.csv and load the file into flhl.

* At 5 PM each day. process File2.csv and load the file into flhl.

The solution must minimize development effort. What should you use?

Show Answer Hide Answer
Correct Answer: B

Question No. 2

You have a Fabric notebook named Notebook1 that has been executing successfully for the last week.

During the last run, Notebook1executed nine jobs.

You need to view the jobs in a timeline chart.

What should you use?

Show Answer Hide Answer
Correct Answer: E

The run series from the details of the application run is the most detailed and relevant feature for visualizing job execution in a timeline format, making it the correct choice for this scenario. It provides an intuitive way to analyze job execution patterns and improve the efficiency of the notebook.


Question No. 3

You have a Fabric workspace.

You have semi-structured data.

You need to read the data by using T-SQL, KQL, and Apache Spark. The data will only be written by using Spark.

What should you use to store the data?

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Correct Answer: A

A lakehouse is the best option for storing semi-structured data when you need to read it using T-SQL, KQL, and Apache Spark. A lakehouse combines the flexibility of a data lake (which can handle semi-structured and unstructured data) with the performance features of a data warehouse. It allows data to be written using Apache Spark and can be queried using different technologies such as T-SQL (for SQL-based querying), KQL (Kusto Query Language for querying), and Apache Spark (for distributed processing). This solution is ideal when dealing with semi-structured data and requiring a versatile querying approach.


Question No. 4

You have a Fabric workspace named Workspace1 that contains a notebook named Notebook1.

In Workspace1, you create a new notebook named Notebook2.

You need to ensure that you can attach Notebook2 to the same Apache Spark session as Notebook1.

What should you do?

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Correct Answer: A

To ensure that Notebook2 can attach to the same Apache Spark session as Notebook1, you need to enable high concurrency for notebooks. High concurrency allows multiple notebooks to share a Spark session, enabling them to run within the same Spark context and thus share resources like cached data, session state, and compute capabilities. This is particularly useful when you need notebooks to run in sequence or together while leveraging shared resources.


Question No. 5

You have a Fabric workspace that contains a warehouse named Warehouse1.

While monitoring Warehouse1, you discover that query performance has degraded during the last 60 minutes.

You need to isolate all the queries that were run during the last 60 minutes. The results must include the username of the users that submitted the queries and the query statements. What should you use?

Show Answer Hide Answer
Correct Answer: C

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