DP-700 Practice Online

Question 1

Which machine learning model performance metric monitors model drift?

A : Confusion matrix

B : Concept drift monitoring

C : Mean squared error

D : ROC curve

Answer: B

Question 2

Which technique can optimize PySpark performance for large datasets?

A : Increasing the number of shuffle partitions

B : Using broadcast joins

C : Reducing executor memory

D : Disabling caching

Answer: B

Question 3

You need to implement the solution for the book reviews. Which should you do?

A : Create a Dataflow Gen2 dataflow.

B : Create a shortcut.

C : Enable external data sharing.

D : Create a data pipeline.

Answer: B

Question 4

Which of the following are key strategies to improve collaboration between analytics engineers and architects in Microsoft Fabric?

A : Sharing performance metrics and analytics dashboards regularly

B : Limiting access to data models to only one team

C : Avoiding documentation of system changes and updates

D : Using a collaborative platform for code reviews and feedback

Answer: D

Question 5

What is a typical use case for PySpark in Microsoft Fabric data transformation?

A : Running SQL queries for data analysis

B : Automatically cleaning data without user intervention

C : Transforming large-scale datasets that exceed the memory of a single machine

D : Analyzing structured data only

Answer: C

Name:	Implementing Data Engineering Solutions Using Microsoft Fabric
Exam Code:	DP-700
Certification:	Microsoft Azure
Vendor:	Microsoft
Total Questions:	405
Last Updated:	Sep 09, 2026