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| Certification Vendor: | Microsoft |
|---|---|
| Exam Name: | Implementing Analytics Solutions Using Microsoft Fabric |
| Exam Number: | DP-600 |
| Certificate Validity Period: | 1 year (renewable via Microsoft certification renewal) |
| Exam Format: | Scenario-based questions, Drag and drop, Case studies, Multiple choice |
| Exam Duration: | 120 minutes |
| Exam Price: | $165 USD (varies by country) |
| Available Languages: | German, French, Spanish, Japanese, Portuguese (Brazil), English, Simplified Chinese, Korean |
| Related Certifications: | DP-900 PL-300 DP-203 |
| Passing Score: | 700 (out of 1000) |
| Real Exam Qty: | 40-60 |
| Recommended Training: | DP-600 Learning Path (Microsoft Learn) Microsoft Fabric Documentation |
| 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 # 119
You need to create a data loading pattern for a Type 1 slowly changing dimension (SCD).
Which two actions should you include in the process? Each correct answer presents part of the solution.
NOTE: Each correct answer is worth one point.
Answer: B,C
NEW QUESTION # 120
You have a Fabric tenant tha1 contains a takehouse named Lakehouse1. Lakehouse1 contains a Delta table named Customer.
When you query Customer, you discover that the query is slow to execute. You suspect that maintenance was NOT performed on the table.
You need to identify whether maintenance tasks were performed on Customer.
Solution: You run the following Spark SQL statement:
EXPLAIN TABLE customer
Does this meet the goal?
Answer: A
Explanation:
No, the EXPLAIN TABLE statement does not identify whether maintenance tasks were performed on a table. It shows the execution plan for a query. References = The usage and output of the EXPLAIN command can be found in the Spark SQL documentation.
NEW QUESTION # 121
Hotspot Question
You have a Fabric tenant.
You need to configure OneLake security for users shown in the following table.
The solution must follow the principle of least privilege.
Which permission should you assign to each user? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.
Answer:
Explanation:
Explanation:
https://learn.microsoft.com/en-us/fabric/data-engineering/lakehouse-sharing#sharing-and- permissions
NEW QUESTION # 122
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?
Answer: A
Explanation:
The command:
DESCRIBE DETAIL Customer
Returns metadata about the Delta table, such as format, schema, partitioning, size, number of files, and creation/modification timestamps.
However, it does not provide information about whether maintenance tasks (such as OPTIMIZE , VACUUM , or Z-Ordering) were performed on the table.
To check maintenance history, you would typically use:
DESCRIBE HISTORY Customer
which shows operations executed on the table (e.g., OPTIMIZE, VACUUM, MERGE).
Since DESCRIBE DETAIL does not satisfy the requirement, the solution does not meet the goal.
Reference:
DESCRIBE DETAIL in Delta Lake
DESCRIBE HISTORY in Delta Lake
NEW QUESTION # 123
You have a Microsoft Fabric tenant that contains a dataflow.
You are exploring a new semantic model.
From Power Query, you need to view column information as shown in the following exhibit.
Which three Data view options should you select? Each correct answer presents part of the solution. NOTE: Each correct answer is worth one point.
Answer: B,C,E
Explanation:
To view column information like the one shown in the exhibit in Power Query, you need to select the options that enable profiling and display quality and distribution details.
These are: A. Enable column profile - This option turns on profiling for each column, showing statistics such as distinct and unique values. B. Show column quality details - It displays the column quality bar on top of each column showing the percentage of valid, error, and empty values. E. Show column value distribution - It enables the histogram display of value distribution for each column, which visualizes how often each value occurs.
NEW QUESTION # 124
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