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| Vendor: | Microsoft |
|---|---|
| Exam Code: | DP-600 |
| Exam Name: | Implementing Analytics Solutions Using Microsoft Fabric |
| Exam Questions: | 192 |
| Last Updated: | August 6, 2026 |
| Related Certifications: | Fabric Analytics Engineer Associate |
| Exam Tags: | Associate Level Microsoft Data analysts and Fabrics Professionals |
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You have a Fabric warehouse that contains a table named Staging.Sales. Staging.Sales contains the following columns.

You need to write a T-SQL query that will return data for the year 2023 that displays ProductID and ProductName arxl has a summarized Amount that is higher than 10,000. Which query should you use?
A)

B)

C)

D)

The correct query to use in order to return data for the year 2023 that displays ProductID, ProductName, and has a summarized Amount greater than 10,000 is Option B. The reason is that it uses the GROUP BY clause to organize the data by ProductID and ProductName and then filters the result using the HAVING clause to only include groups where the sum of Amount is greater than 10,000. Additionally, the DATEPART(YEAR, SaleDate) = '2023' part of the HAVING clause ensures that only records from the year 2023 are included. Reference = For more information, please visit the official documentation on T-SQL queries and the GROUP BY clause at T-SQL GROUP BY.
Note: This section contains one or more sets of questions with the same scenario and problem. Each question presents a unique solution to the problem. You must determine whether the solution meets the stated goals. More than one solution in the set might solve the problem. It is also possible that none of the solutions in the set solve the problem.
After you answer a question in this section, you will NOT be able to return. As a result, these questions do not appear on the Review Screen.
Your network contains an on-premises Active Directory Domain Services (AD DS) domain named contoso.com that syncs with a Microsoft Entra tenant by using Microsoft Entra Connect.
You have a Fabric tenant that contains a semantic model.
You enable dynamic row-level security (RLS) for the mode! and deploy the model to the Fabric service.
You query a measure that includes the username () function, and the query returns a blank result.
You need to ensure that the measure returns the user principal name (UPNJ of a user.
Solution: You add user objects to the list of synced objects in Microsoft Entra Connect.
Does this meet the goal?
You have a Fabric tenant that contains a workspace named Workspace1. Workspace1 contains a single semantic model that has two Microsoft Power BI reports.
You have a Microsoft 365 subscription that contains a data loss prevention (DLP) policy named DLP1.
You need to apply DLP1 to the items in Workspace1.
What should you do?
Step 1: Understand the scenario
Workspace1 contains a semantic model and two Power BI reports.
A Microsoft 365 Data Loss Prevention (DLP) policy (DLP1) already exists.
Requirement: Apply DLP1 to the workspace items.
In Microsoft Fabric and Power BI, DLP policies are enforced through Microsoft Purview Information Protection (MIP) sensitivity labels.
Step 2: Evaluate each option
A . Apply a master data endorsement to the semantic model.
Endorsements (promoted, certified) help users find and trust datasets but do not enforce DLP policies.
Not correct.
B . Apply a certified endorsement to the semantic model.
Certification improves discoverability and trust, but again, it does not trigger DLP policy enforcement.
Not correct.
C . Create a workspace identity.
Workspace identity (service principal) is used for connecting to external resources with managed identity.
It does not relate to DLP policy application.
Not correct.
D . Apply sensitivity labels to the semantic model and reports.
Sensitivity labels (from Microsoft Purview) integrate with Microsoft 365 DLP policies.
When sensitivity labels are applied to Power BI datasets, reports, dashboards, and workspaces, DLP1 can enforce protections such as preventing sharing or exporting sensitive data.
This is the correct answer.
Step 3: Correct Action
To apply DLP1 to Workspace1 items, you must:
Configure sensitivity labels in Microsoft Purview.
Apply those sensitivity labels to the semantic model and reports inside Workspace1.
The existing DLP1 policy will then govern data handling for those items.
Reference
Sensitivity labels in Power BI
Apply sensitivity labels to Power BI items
DLP policies in Microsoft Purview
You have a Fabric semantic model named Model1 that contains a table named Sales. You need to enable incremental refresh for the Sales table. What should you do first?
You have a Fabric workspace named Workspace1 that contains a dataflow named Dataflow1. Dataflow1 returns 500 rows of data.
You need to identify the min and max values for each column in the query results.
Which three Data view options should you select? Each correct answer presents part of the solution.
NOTE: Each correct answer is worth one point.
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