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| Certification Vendor: | Microsoft |
|---|---|
| Exam Name: | Implementing Analytics Solutions Using Microsoft Fabric |
| Exam Number: | DP-600 |
| Available Languages: | Spanish, Japanese, Simplified Chinese, German, Korean, French, Portuguese (Brazil), English |
| Exam Price: | $165 USD (varies by country) |
| Exam Format: | Multiple choice, Drag and drop, Case studies, Scenario-based questions |
| Passing Score: | 700 (out of 1000) |
| Real Exam Qty: | 40-60 |
| Exam Duration: | 120 minutes |
| Related Certifications: | DP-900 DP-203 PL-300 |
| Certificate Validity Period: | 1 year (renewable via Microsoft certification renewal) |
| Recommended Training: | Microsoft Fabric Documentation DP-600 Learning Path (Microsoft Learn) |
| Exam Registration: | Pearson VUE Microsoft Exams Microsoft Certification Dashboard |
| Sample Questions: | Microsoft DP-600 Sample Questions |
| Exam Way: | Online proctored exam or in-person at Pearson VUE test centers |
| Pre Condition: | No formal prerequisites required, but familiarity with data analytics, Power BI, and Azure data services is recommended. |
| Official Syllabus URL: | https://learn.microsoft.com/credentials/certifications/fabric-analytics-engineer/ |
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NEW QUESTION # 169
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 model 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 (UPN) of a user.
Solution: You update the measure to use the USEROBJECT () function.
Does this meet the goal?
Answer: B
Explanation:
There is no USEROBJECT() function in DAX. The correct functions available are USERNAME() and USERPRINCIPALNAME().
USERPRINCIPALNAME() is the one that returns the UPN directly.
Since the solution refers to a non-existent function (USEROBJECT()), it cannot solve the problem.
Correct approach: Update the measure to use USERPRINCIPALNAME(), not USEROBJECT().
NEW QUESTION # 170
You are creating a dataflow in Fabric to ingest data from an Azure SQL database by using a T-SQL statement.
You need to ensure that any foldable Power Query transformation steps are processed by the Microsoft SQL Server engine.
How should you complete the code? To answer, drag the appropriate values to the correct targets. Each value may be used once, more than once, or not at all. You may need to drag the split bar between panes or scroll to view content.
NOTE: Each correct selection is worth one point.
Answer:
Explanation:
NEW QUESTION # 171
You have a Fabric tenant that contains a lakehouse.
You plan to use a visual query to merge two tables.
You need to ensure that the query returns all the rows in both tables.
Which type of join should you use?
Answer: B
Explanation:
Left or right will only return one table all rows and other table if exist in the other table. inner will only return if data match in both tables so Full (outer) join will return all data from both tables
NEW QUESTION # 172
You have a Fabric tenant that contains a lakehouse named Lakehouse1. Lakehouse1 contains a subfolder named Subfolder1 that contains CSV files. You need to convert the CSV files into the delta format that has V-Order optimization enabled. What should you do from Lakehouse explorer?
Answer: C
Explanation:
To convert CSV files into the delta format with Z-Order optimization enabled, you should use the Optimize feature (D) from Lakehouse Explorer. This will allow you to optimize the file organization for the most efficient querying. References = The process for converting and optimizing file formats within a lakehouse is discussed in the lakehouse management documentation.
NEW QUESTION # 173
You to need assign permissions for the data store in the AnalyticsPOC workspace. The solution must meet the security requirements.
Which additional permissions should you assign when you share the data store? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.
Answer:
Explanation:
Explanation:
* Data Engineers: Read All SQL analytics endpoint data
* Data Analysts: Read All Apache Spark
* Data Scientists: Read All SQL analytics endpoint data
The permissions for the data store in the AnalyticsPOC workspace should align with the principle of least privilege:
* Data Engineers need read and write access but not to datasets or reports.
* Data Analysts require read access specifically to the dimensional model objects and the ability to create Power BI reports.
* Data Scientists need read access via Spark notebooks. These settings ensure each role has the necessary permissions to fulfill their responsibilities without exceeding their required access level.
NEW QUESTION # 174
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