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Actual exam question from Microsoft's DP-500
Question #: 1
Topic #: 1
[All DP-500 Questions]

This is a case study. Case studies are not timed separately. You can use as much exam time as you would like to complete each case. However, there may be additional case studies and sections on this exam. You must manage your time to ensure that you are able to complete all questions included on this exam in the time provided.
To answer the questions included in a case study, you will need to reference information that is provided in the case study. Case studies might contain exhibits and other resources that provide more information about the scenario that is described in the case study. Each question is independent of the other questions in this case study.
At the end of this case study, a review screen will appear. This screen allows you to review your answers and to make changes before you move to the next section of the exam. After you begin a new section, you cannot return to this section.

To start the case study -
To display the first question in this case study, click the Next button. Use the buttons in the left pane to explore the content of the case study before you answer the questions. Clicking these buttons displays information such as business requirements, existing environment, and problem statements. If the case study has an All Information tab, note that the information displayed is identical to the information displayed on the subsequent tabs. When you are ready to answer a question, click the Question button to return to the question.

Overview -
Contoso, Ltd. is a company that sells enriched financial data to a variety of external customers.
Contoso has a main office in Los Angeles and two branch offices in New York and Seattle.

Existing Environment -

Data Infrastructure -
Contoso has a 50-TB data warehouse that uses an instance of SQL Server on Azure Virtual Machines.
The data warehouse populates an Azure Synapse Analytics workspace that is accessed by the external customers. Currently, the customers can access all the data.
Contoso has one Power BI workspace named FinData that contains a single dataset. The dataset contains financial data from around the world. The workspace is used by 10 internal users and one external customer. The dataset has the following two data sources: the data warehouse and the Synapse Analytics serverless SQL pool.
Users frequently query the Synapse Analytics workspace by using Transact-SQL.

User Problems -
Contoso identifies the following user issues:
Some users indicate that the visuals in Power BI reports are slow to render when making filter selections.
Users indicate that queries against the serverless SQL pool fail occasionally because the size of tempdb has been exceeded.
Users indicate that the data in Power BI reports is stale. You discover that the refresh process of the Power BI model occasionally times out.

Planned Changes -
Contoso plans to implement the following changes:
Into the existing Power BI dataset, integrate an external data source in JSON that is accessible by using the REST API.
Build a new dataset in the FinData workspace by using data from the Synapse Analytics dedicated SQL pool.
Provide all the customers with their own Power BI workspace to create their own reports. Each workspace will use the new dataset in the FinData workspace.
Implement subscription levels for the customers. Each subscription level will provide access to specific rows of financial data.
Deploy prebuilt datasets to Power BI to simplify the query experience of the customers.
Provide internal users with the ability to incorporate machine learning models loaded to the dedicated SQL pool.
You need to identify the root cause of the data refresh issue.
What should you use?

  • A. the Usage Metrics Report in powerbi.com
  • B. Query Diagnostics in Power Query Editor
  • C. Performance analyzer in Power BI Desktop
Show Suggested Answer Hide Answer
Suggested Answer: B 🗳️

Comments

Chosen Answer:
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Az301301X
Highly Voted 2 years, 4 months ago
Selected Answer: B
Query Diagnostics will do the trick. "...you can use it to understand what sort of queries you're emitting, what slowdowns you might run into during authoring refresh..." https://learn.microsoft.com/en-us/power-query/query-diagnostics. So, B.
upvoted 7 times
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nbagchi
Highly Voted 2 years, 5 months ago
Correct, Query Diagnostics helps in understanding what Power Query is doing at authoring and at refresh time in Power BI Desktop.
upvoted 6 times
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Deloro
Most Recent 1 year, 8 months ago
i would also say B since its data refresh, performance analyzer is time of the visuals to refresh (and update)
upvoted 1 times
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gerryboy
1 year, 9 months ago
Selected Answer: B
will give all stats in Query diagnostics.
upvoted 1 times
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hoss29
1 year, 10 months ago
Selected Answer: B
Data refresh is the equivalent of data load, which is more upfront than loading visuals. Hence we need to use Query Diagnostics (answer B)
upvoted 1 times
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Eltooth
1 year, 11 months ago
Selected Answer: B
B is correct answer. The question is asking why does the refresh fail not why does the report take a long time to load. The PA will analyse where the bottleneck is. Power Query Editor will tell you why the refresh is failing.
upvoted 3 times
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Tranter
1 year, 12 months ago
When you encounter slow rendering specifically during filter selections in Power BI reports, the Performance Analyzer tool is more suitable for identifying the root causes and optimizing performance. The Performance Analyzer helps you analyze the rendering time of visuals and components in your report, allowing you to pinpoint the specific areas that are causing the slowdown during filter selections. By using the Performance Analyzer, you can focus on optimizing those visuals or components to improve rendering performance. On the other hand, Query Diagnostics in Power Query Editor is designed to analyze and optimize the performance of data loading and transformations within the Power Query Editor. It is more relevant when you want to troubleshoot and optimize the data loading process, rather than the rendering performance during filter selections. so in the context of slow rendering during filter selections, the Performance Analyzer in Power BI Desktop is the recommended tool to use for identifying the root causes and optimizing performance.
upvoted 3 times
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DarioReymago
2 years, 1 month ago
Selected Answer: C
I prefere C, B doesnt show info about interactions and metrics
upvoted 1 times
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laureli
2 years, 3 months ago
Selected Answer: C
Monitor report performance in Power BI Desktop using the Performance Analyzer. Monitoring will help you learn where the bottlenecks are, and how you can improve report performance. Monitoring performance is relevant in the following situations: Your Import data model refresh is slow. Your DirectQuery or Live Connection reports are slow. Your model calculations are slow.
upvoted 2 times
laureli
2 years, 3 months ago
https://learn.microsoft.com/en-us/power-bi/guidance/monitor-report-performance
upvoted 2 times
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Tranter
2 years ago
C cannot be used to monitor Premium per user activities or capacity so will go with B
upvoted 1 times
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abain89
2 years, 4 months ago
Should be C - Performance Analyzer https://learn.microsoft.com/en-us/power-bi/guidance/monitor-report-performance
upvoted 4 times
KoryMills
2 years, 4 months ago
'It is asking for the 'root cause of the data refresh issue.' Not the visuals… so answer is not Performance Analyzer.
upvoted 1 times
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JasonVu
2 years, 5 months ago
Got this on 12/08/2022
upvoted 2 times
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Community vote distribution
A (35%)
C (25%)
B (20%)
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