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| Certification Vendor: | Microsoft |
|---|---|
| Exam Name: | Implementing Analytics Solutions Using Microsoft Fabric |
| Exam Number: | DP-600 |
| Exam Price: | $165 USD (varies by country) |
| Related Certifications: | PL-300 DP-203 DP-900 |
| Certificate Validity Period: | 1 year (renewable via Microsoft certification renewal) |
| Exam Format: | Multiple choice, Scenario-based questions, Case studies, Drag and drop |
| Available Languages: | French, Portuguese (Brazil), Simplified Chinese, Korean, German, Japanese, Spanish, English |
| Exam Duration: | 120 minutes |
| Passing Score: | 700 (out of 1000) |
| Real Exam Qty: | 40-60 |
| 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 # 167
Hotspot Question
You have a Fabric warehouse that contains a table named Sales.Products. Sales.Products contains the following columns.
You need to write a T-SQL query that will return the following columns.
How should you complete the code? To answer, select the appropriate options in the answer area.
NOTE: Each correct answer is worth one point.
Answer:
Explanation:
NEW QUESTION # 168
You have a Fabric workspace that uses the default Spark starter pool and runtime version 1,2.
You plan to read a CSV file named Sales.raw.csv in a lakehouse, select columns, and save the data as a Delta table to the managed area of the lakehouse. Sales_raw.csv contains 12 columns.
You have the following code.
For each of the following statements, select Yes if the statement is true. Otherwise, select No. NOTE: Each correct selection is worth one point.
Answer:
Explanation:
NEW QUESTION # 169
You need to design a semantic model for the customer satisfaction report.
Which data source authentication method and mode should you use? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.
Answer:
Explanation:
Explanation:
For the semantic model design required for the customer satisfaction report, the choices for data source authentication method and mode should be made based on security and performance considerations as per the case study provided.
Authentication method: The data should be accessed securely, and given that row-level security (RLS) is required for users executing T-SQL queries, you should use an authentication method that supports RLS.
Service principal authentication is suitable for automated and secure access to the data, especially when the access needs to be controlled programmatically and is not tied to a specific user's credentials.
Mode: The report needs to show data as soon as it is updated in the data store, and it should only contain data from the current and previous year. DirectQuery mode allows for real-time reporting without importing data into the model, thus meeting the need for up-to-date data. It also allows for RLS to be implemented and enforced at the data source level, providing the necessary security measures.
Based on these considerations, the selections should be:
* Authentication method: Service principal authentication
* Mode: DirectQuery
NEW QUESTION # 170
You have a semantic model named Model 1. Model 1 contains five tables that all use Import mode. Model1 contains a dynamic row-level security (RLS) role named HR. The HR role filters employee data so that HR managers only see the data of the department to which they are assigned.
You publish Model1 to a Fabric tenant and configure RLS role membership. You share the model and related reports to users.
An HR manager reports that the data they see in a report is incomplete.
What should you do to validate the data seen by the HR Manager?
Answer: B
Explanation:
To validate the data seen by the HR manager, you should use the 'Test as role' feature in Power BI service.
This allows you to see the data exactly as it would appear for the HR role, considering the dynamic RLS setup. Here is how you would proceed:
* Navigate to the Power BI service and locate Model1.
* Access the dataset settings for Model1.
* Find the security/RLS settings where you configured the roles.
* Use the 'Test as role' feature to simulate the report viewing experience as the HR role.
* Review the data and the filters applied to ensure that the RLS is functioning correctly.
* If discrepancies are found, adjust the RLS expressions or the role membership as needed.
References: The 'Test as role' feature and its use for validating RLS in Power BI is covered in the Power BI documentation available on Microsoft's official documentation.
NEW QUESTION # 171
You have a Fabric tenant that contains a data warehouse named DW1. DW1 contains a table named DimCustomer. DimCustomer contains the fields shown in the following table.
You need to identify duplicate email addresses in DimCustomer. The solution must return a maximum of
1,000 records.
Which four T-SQL statements should you run in sequence? To answer, move the appropriate statements from the list of statements to the answer area and arrange them in the correct order.
Answer:
Explanation:
Explanation:
Step 1 - Select the required fields and count
We want to group by CustomerAltKey and count occurrences.
SELECT CustomerAltKey, COUNT(*)
Step 2 - From the table
FROM DimCustomer
Step 3 - Grouping by email
GROUP BY CustomerAltKey
Step 4 - Filtering duplicates (only values with count > 1)
HAVING COUNT(*) > 1
Step 5 - Limiting the result to 1,000 rows
LIMIT 1000
(or in T-SQL, SELECT TOP(1000) ...). Since both options are shown, we use LIMIT 1000 because Fabric Warehouse supports Synapse SQL T-SQL + ANSI SQL style.
Correct Sequence:
SELECT CustomerAltKey, COUNT(*)
FROM DimCustomer
GROUP BY CustomerAltKey
HAVING COUNT(*) > 1
LIMIT 1000
NEW QUESTION # 172
......
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