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| Certification Vendor: | Microsoft |
|---|---|
| Exam Name: | Implementing Analytics Solutions Using Microsoft Fabric |
| Exam Number: | DP-600 |
| Real Exam Qty: | 40-60 |
| Exam Price: | $165 USD (varies by country) |
| Exam Duration: | 120 minutes |
| Certificate Validity Period: | 1 year (renewable via Microsoft certification renewal) |
| Exam Format: | Drag and drop, Case studies, Multiple choice, Scenario-based questions |
| Related Certifications: | DP-203 DP-900 PL-300 |
| Available Languages: | Portuguese (Brazil), Japanese, German, Spanish, Simplified Chinese, French, English, Korean |
| Passing Score: | 700 (out of 1000) |
| Recommended Training: | Microsoft Fabric Documentation DP-600 Learning Path (Microsoft Learn) |
| Exam Registration: | Microsoft Certification Dashboard Pearson VUE Microsoft Exams |
| 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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질문 # 198
You have a Fabric tenant that contains a workspace named Workspace1 and a user named DBUser.
Workspace1 contains a lakehouse named Lakehousel. DBUser does NOT have access to the tenant.
You grant DBUser access to Lakehouse1 as shown in the following exhibit.
Use the drop-down menus to select the answer choice that completes each statement based on the information presented in the graphic.
NOTE: Each correct selection is worth one point.
정답:
설명:
Explanation:
In Microsoft Fabric, the OneLake endpoint allows users with appropriate permissions to read data from a lakehouse, leveraging the unified data storage system. Since DBUser has been granted access to Lakehouse1, they can utilize the OneLake endpoint for reading data. For querying, the OneLake file explorer provides a user interface to interact with and query data within the lakehouse, aligning with DBUser ' s access rights without requiring broader tenant permissions.
질문 # 199
You have a Fabric warehouse named Warehousel that contains a table named Table! Tablel contains customer data.
You need to implement row-level security (RLS) for Tablel. The solution must ensure that users can see only their respective data.
Which two objects should you create? Each correct answer presents part of the solution.
NOTE: Each correct selection is worth one point.
정답:A,D
설명:
To implement row-level security (RLS) in a Fabric Warehouse (like in Azure Synapse or SQL Server):
You must define a predicate function (usually an inline table-valued function) that filters rows for each user
# Function.
Then you bind that function to the table using a Security Policy # Security Policy.
A Database Role is used for group-based access control but not specifically for implementing RLS.
Stored procedures and constraints are not used for RLS.
Correct answers: A and D
Reference: Row-Level Security (RLS) in Synapse/Fabric SQL
질문 # 200
You have a Fabric tenant named Tenant1 that contains a workspace named WS1. WS1 uses a capacity named C1 and contains a dawset named DS1. You need to ensure read-write access to DS1 is available by using the XMLA endpoint. What should be modified first?
정답:C
설명:
To ensure read-write access to DS1 is available by using the XMLA endpoint, the C1 settings (which refer to the capacity settings) should be modified first. XMLA endpoint configuration is a capacity feature, not specific to individual datasets or workspaces. References = The configuration of XMLA endpoints in Power BI capacities is detailed in the Power BI documentation on dataset management.
질문 # 201
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?
정답:C
설명:
For the Copy data activity, from the Destination tab, setting Table action to Overwrite (B) will ensure that Table1 is replaced with the schema and rows of the external data, meeting the requirements of replacing both the schema and data of the destination table. References = Information about Copy data activity and table actions in Azure Data Factory, which can be applied to data pipelines in Fabric, is available in the Azure Data Factory documentation.
질문 # 202
You have a Fabric tenant that contains a semantic model.
You need to prevent report creators from populating visuals by using implicit measures.
What are two tools that you can use to achieve the goal? Each correct answer presents a complete solution.
NOTE: Each correct answer is worth one point.
정답:C,D
설명:
Microsoft Power BI Desktop (A) and Tabular Editor (B) are the tools you can use to prevent report creators from using implicit measures. In Power BI Desktop, you can define explicit measures which can be used in visuals. Tabular Editor allows for advanced model editing, where you can enforce the use of explicit measures. Reference = Guidance on using explicit measures and preventing implicit measures in reports can be found in the Power BI and Tabular Editor official documentation.
질문 # 203
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