- 140 Actual Exam Questions
- Compatible with all Devices
- Printable Format
- No Download Limits
- 90 Days Free Updates
Get All Implementing Analytics Solutions Using Microsoft Fabric Exam Questions with Validated Answers
| Vendor: | Microsoft |
|---|---|
| Exam Code: | DP-600 |
| Exam Name: | Implementing Analytics Solutions Using Microsoft Fabric |
| Exam Questions: | 140 |
| Last Updated: | December 24, 2025 |
| Related Certifications: | Fabric Analytics Engineer Associate |
| Exam Tags: | Associate Level Microsoft Data analysts and Fabrics Professionals |
Looking for a hassle-free way to pass the Microsoft Implementing Analytics Solutions Using Microsoft Fabric exam? DumpsProvider provides the most reliable Dumps Questions and Answers, designed by Microsoft certified experts to help you succeed in record time. Available in both PDF and Online Practice Test formats, our study materials cover every major exam topic, making it possible for you to pass potentially within just one day!
DumpsProvider is a leading provider of high-quality exam dumps, trusted by professionals worldwide. Our Microsoft DP-600 exam questions give you the knowledge and confidence needed to succeed on the first attempt.
Train with our Microsoft DP-600 exam practice tests, which simulate the actual exam environment. This real-test experience helps you get familiar with the format and timing of the exam, ensuring you're 100% prepared for exam day.
Your success is our commitment! That's why DumpsProvider offers a 100% money-back guarantee. If you don’t pass the Microsoft DP-600 exam, we’ll refund your payment within 24 hours no questions asked.
Don’t waste time with unreliable exam prep resources. Get started with DumpsProvider’s Microsoft DP-600 exam dumps today and achieve your certification effortlessly!
You have a Fabric tenant that contains a warehouse. The warehouse uses row-level security (RLS). You create a Direct Lake semantic model that uses the Delta tables and RLS of the warehouse. When users interact with a report built from the model, which mode will be used by the DAX queries?
When users interact with a report built from a Direct Lake semantic model that uses row-level security (RLS), the DAX queries will operate in DirectQuery mode (A). This is because the model directly queries the underlying data source without importing data into Power BI. Reference = The Power BI documentation on DirectQuery provides detailed explanations of how RLS and DAX queries function in this mode.
You need to provide Power Bl 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.
* 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.
To meet the requirements, developers should have Admin access to the deployment pipeline (B), Contributor access to the Development and Test workspaces (E), and Viewer access to the Production workspace (D). This setup ensures they can perform necessary actions in development and test environments without having the ability to affect production. Reference = The Power BI documentation on workspace access levels and deployment pipelines provides guidelines on assigning appropriate permissions.
You have a Fabric tenant that contains a lakehouse named lakehouse1. Lakehouse1 contains an unpartitioned table named Table1.
You plan to copy data to Table1 and partition the table based on a date column in the source data.
You create a Copy activity to copy the data to Table1.
You need to specify the partition column in the Destination settings of the Copy activity.
What should you do first?
Before specifying the partition column in the Destination settings of the Copy activity, you should set Mode to Append (A). This will allow the Copy activity to add data to the table while taking the partition column into account. Reference = The configuration options for Copy activities and partitioning in Azure Data Factory, which are applicable to Fabric dataflows, are outlined in the official Azure Data Factory documentation.
Note: This question is part of a series of questions that present the same scenario. Each question in the series contains a unique solution that might meet the stated goals. Some question sets might have more than one correct solution, while others might not have a correct solution.
After you answer a question in this section, you will NOT be able to return to it. As a result, these questions will not appear in the review screen.
You have a Fabric tenant that contains a semantic model named Model1.
You discover that the following query performs slowly against Model1.

You need to reduce the execution time of the query.
Solution: You replace line 4 by using the following code:

Does this meet the goal?
You have a Fabric tenant that uses a Microsoft tower Bl Premium capacity. You need to enable scale-out for a semantic model. What should you do first?
To enable scale-out for a semantic model, you should first set Large dataset storage format to On (C) at the semantic model level. This configuration is necessary to handle larger datasets effectively in a scaled-out environment. Reference = Guidance on configuring large dataset storage formats for scale-out is available in the Power BI documentation.
Security & Privacy
Satisfied Customers
Committed Service
Money Back Guranteed