You have a Fabric tenant that contains a new semantic model in OneLake. You use a Fabric notebook to read the data into a Spark DataFrame. You need to evaluate the data to calculate the min, max, mean, and standard deviation values for all the string and numeric columns. Solution: You use the following PySpark expression: df.show() Does this meet the goal?
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
You have a Fabric workspace named Workspace1 that contains a dataflow named Dataflow1. Dataflow1 returns 500 rows of data. You need to identify the min and max values for each column in the query results. Which three Data view options should you select? Each correct answer presents part of the solution. NOTE: Each correct answer is worth one point.
Which type of data store should you recommend in the AnalyticsPOC workspace?
You have a Fabric tenant named Tenant! that contains a lakehouse named Lakehouse1.
You need to add data to Lakehouse1 from a CSV file in an Azure Storage account outside of Fabric. The
solution must minimize development effort.
What should you use to add the data?
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| Name: | Microsoft Certified: Fabric Analytics Engineer Associate |
| Exam Code: | DP-600 |
| Certification: | Microsoft Azure |
| Vendor: | Microsoft |
| Total Questions: | 169 |
| Last Updated: | May 10, 2026 |
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