DP-600 Exam Question 36

You have a Microsoft Fabric tenant that contains a dataflow.
You are exploring a new semantic model.
From Power Query, you need to view column information as shown in the following exhibit.

Which three Data view options should you select? Each correct answer presents part of the solution. NOTE:
Each correct answer is worth one point.
  • DP-600 Exam Question 37

    You plan to deploy Microsoft Power BI items by using Fabric deployment pipelines. You have a deployment pipeline that contains three stages named Development, Test, and Production. A workspace is assigned to each stage.
    You need to provide Power BI developers with access to the pipeline. The solution must meet the following requirements:
    Ensure that the developers can deploy items to the workspaces for Development and Test.
    Prevent the developers from deploying items to the workspace for Production.
    Ensure that developers can view items in Production.
    Follow the principle of least privilege.
    Which three levels of access should you assign to the developers? Each correct answer presents part of the solution.
    NOTE: Each correct answer is worth one point.
  • DP-600 Exam Question 38

    You have a Fabric tenant that contains a workspace named Workspace_DEV. Workspace_DEV contains the semantic models shown in the following table.

    Workspace_DEV contains the dataflows shown in the following table.

    DP-600 Exam Question 39

    You have a Fabric tenant that contains a lakehouse named lakehouse1. Lakehouse1 contains a table named Table1.
    You are creating a new data pipeline.
    You plan to copy external data to Table1. The schema of the external data changes regularly.
    You need the copy operation to meet the following requirements:
    * Replace Table1 with the schema of the external data.
    * Replace all the data in Table1 with the rows in the external data.
    You add a Copy data activity to the pipeline. What should you do for the Copy data activity?
  • DP-600 Exam Question 40

    You have a Fabric tenant that contains a machine learning model registered in a Fabric workspace. You need to use the model to generate predictions by using the predict function in a fabric notebook. Which two languages can you use to perform model scoring? Each correct answer presents a complete solution. NOTE:
    Each correct answer is worth one point.