Free Microsoft DP-600 Exam Questions
Absolute Free DP-600 Exam Practice for Comprehensive Preparation
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Microsoft DP-600 Exam Questions
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Provided By: Microsoft
- Exam: Microsoft Certified: Fabric Analytics Engineer Associate
- Certification: Microsoft Azure
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Total Questions: 120
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Updated On: May 13, 2025
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Rated: 4.9 |
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Online Users: 240
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Question 1
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You have a Fabric tenant that contains a data pipeline.
You need to ensure that the pipeline runs every four hours on Mondays and Fridays.
To what should you set Repeat for the schedule?
Answer: D
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You have a Fabric tenant that contains a data pipeline.
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Question 2
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In a warehouse environment, what role does an ETL (Extract, Transform, Load) process play in data management?
Answer: C
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Question 3
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You have a Fabric tenant.
You are creating a Fabric Data Factory pipeline.
You have a stored procedure that returns the number of active customers and their average sales for
the current month.
You need to add an activity that will execute the stored procedure in a warehouse. The returned
values must be available to the downstream activities of the pipeline.
Which type of activity should you add?Script
Answer: A
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You have a Fabric tenant.
You are creating a Fabric Data Factory pipeline.
You have a stored procedure that returns the number of active customers and their average sales for
the current month.
You need to add an activity that will execute the stored procedure in a warehouse. The returned
values must be available to the downstream activities of the pipeline.
Which type of activity should you add?Script
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Question 4
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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 tenant that contains a lakehouse named Lakehouse1. Lakehouse1 contains a Delta table named Customer.
When you query Customer, you discover that the query is slow to execute. You suspect that maintenance was NOT performed on the table.
You need to identify whether maintenance tasks were performed on Customer.
Solution: You run the following Spark SQL statement:
REFRESH TABLE customer -
Does this meet the goal?
Answer: B
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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.
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Question 5
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Which elements are critical in managing the analytics development lifecycle for successful deployment?
Answer: A,D
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