Online Access Free DP-600 Practice Test
| Exam Code: | DP-600 |
| Exam Name: | Implementing Analytics Solutions Using Microsoft Fabric |
| Certification Provider: | Microsoft |
| Free Question Number: | 165 |
| Posted: | Oct 21, 2025 |
You have a Fabric tenant that contains two workspaces named Woritspace1 and Workspace2. Workspace1 contains a lakehouse named Lakehouse1. Workspace2 contains a lakehouse named Lakehouse2. Lakehouse!
contains a table named dbo.Sales. Lakehouse2 contains a table named dbo.Customers.
You need to ensure that you can write queries that reference both dbo.Sales and dbo.Customers in the same SQL query without making additional copies of the tables.
What should you use?
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.
You have the source data model shown in the following exhibit.
The primary keys of the tables are indicated by a key symbol beside the columns involved in each key.
You need to create a dimensional data model that will enable the analysis of order items by date, product, and customer.
What should you include in the solution? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.
You have a Fabric workspace named Workspace1 and an Azure SQL database.
You plan to create a dataflow that will read data from the database, and then transform the data by performing an inner join. You need to ignore spaces in the values when performing the inner join The solution must minimize development effort. What should you do?

