DP-600 Exam Question 26

You have a Fabric tenant that contains a workspace named Workspace1.
You plan to deploy a semantic model named Model1 by using the XMLA endpoint.
You need to optimize the deployment of Model1. The solution must minimize how long it takes to deploy Model1.
What should you do in Workspace1?
  • DP-600 Exam Question 27

    You have a Fabric tenant that contains a lakehouse named Lakehouse1. Lakehouse1 contains a table named Nyctaxi_raw. Nyctaxi_raw contains the following columns.

    You create a Fabric notebook and attach it to lakehouse1.
    You need to use PySpark code to transform the data. The solution must meet the following requirements:
    * Add a column named pickupDate that will contain only the date portion of pickupDateTime.
    * Filter the DataFrame to include only rows where fareAmount is a positive number that is less than 100.
    How should you complete the code? To answer, select the appropriate options in the answer area. NOTE:
    Each correct selection is worth one point.

    DP-600 Exam Question 28

    You have a Fabric warehouse named Watehousel that contains a table named TaxiTrips. TaxiTrips contains the following columns.

    You need to create a query that shows the top three taxi companies based on the total miles traveled.
    How should you complete the T-SQL statement? To answer, select the appropriate options in the answer area.
    NOTE: Each correct selection is worth one point.

    DP-600 Exam Question 29

    You have a Fabric tenant that contains a Microsoft Power Bl report named Report 1.
    Report1 is slow to render. You suspect that an inefficient DAX query is being executed.
    You need to identify the slowest DAX query, and then review how long the query spends in the formula engine as compared to the storage engine.
    Which five actions should you perform in sequence? To answer, move the appropriate actions from the list of actions to the answer area and arrange them in the correct order.

    DP-600 Exam Question 30

    You are analyzing the data in a Fabric notebook.
    You have a Spark DataFrame assigned to a variable named df.
    You need to use the Chart view in the notebook to explore the data manually.
    Which function should you run to make the data available in the Chart view?