Absolute Free DP-600 Exam Practice for Comprehensive Preparation 

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 workspace named Workspace 1 that contains a dataflow named Dataflow1. Dataflow! has a query that returns 2.000 rows. You view the query in Power Query as shown in the following exhibit.

What can you identify about the pickupLongitude column?  

You have a Fabric tenant that contains a semantic model. You need to prevent report creators from populating visuals by using implicit measures. What are two tools that you can use to achieve the goal? Each correct answer presents a complete solution. NOTE: Each correct answer is worth one point.  

You have a Fabric tenant that contains a warehouse. Several times a day. the performance of all warehouse queries degrades. You suspect that Fabric is throttling the compute used by the warehouse. What should you use to identify whether throttling is occurring?