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Exam DP-500 topic 1 question 6 discussion

Actual exam question from Microsoft's DP-500
Question #: 6
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 recommend a solution to resolve the query issue of the serverless SQL pool. The solution must minimize impact on the users.
What should you in the recommendation?

  • A. Update the statistics for the serverless SQL pool.
  • B. Move the data from the serverless SQL pool to a dedicated Apache Spark pool.
  • C. Execute the sp_set_process_data_limit stored procedure for the serverless SQL pool.
  • D. Move the data from the serverless SQL pool to a dedicated SQL pool.
Show Suggested Answer Hide Answer
Suggested Answer: A 🗳️

Comments

Chosen Answer:
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nbagchi
Highly Voted 2 years, 6 months ago
Correct
upvoted 10 times
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Akin_Eren
Most Recent 1 year, 6 months ago
Selected Answer: D
i would go with option D as well, because updating statics is not a certain solution as we don't know if there is any change on tables as statistics changes require
upvoted 1 times
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metiii
1 year, 7 months ago
Selected Answer: A
Using a dedicated SQL Pool or Apache Spark Pool will probably resolve the issue but they would have a huge impact on the user, you should consider that part of the question otherwise you are ignoring it completely. Updating the statistics might not be as miraculous as a dedicated SQL pool but it is done easily and has a minor if not no impact on the user.
upvoted 3 times
reignreign03
1 year, 6 months ago
I might agree with this one.
upvoted 2 times
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Omorinsola26
1 year, 8 months ago
Updating statistics is required when there is a material change in the distribution of values for columns
upvoted 1 times
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Hisayuki
1 year, 9 months ago
Selected Answer: D
Dedicated SQL Pool
upvoted 2 times
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Bridgi
1 year, 10 months ago
Selected Answer: D
Dedicated SQL pool supports large amounts of data and complex queries.
upvoted 1 times
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Dimitar1878
1 year, 10 months ago
ChatPGT say Answer C: C. Execute the sp_set_process_data_limit stored procedure for the serverless SQL pool. The sp_set_process_data_limit stored procedure allows you to set a data limit for a single query. This can help prevent queries from exceeding the available resources and causing tempdb or other resource-related issues. By setting appropriate data limits, you can manage query execution and ensure more stable performance for the serverless SQL pool.
upvoted 2 times
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ExamPage
1 year, 11 months ago
Correct Answer is D - Move to dedicated SQL Pool. Question says to minimize impact. There will definitely be impact on running processes in Stat is updated. Read and see comments: https://learn.microsoft.com/en-us/answers/questions/1340374/serverless-sql-is-not-clearing-the-tempdb-after-qu
upvoted 2 times
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Cattalin
1 year, 12 months ago
Selected Answer: A
ChatGPT: To resolve the query issue of the serverless SQL pool in Azure Synapse Analytics while minimizing the impact on users, you should recommend option A: Update the statistics for the serverless SQL pool.
upvoted 1 times
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PrudenceK
2 years ago
Selected Answer: D
D. Move the data from the serverless SQL pool to a dedicated SQL pool.
upvoted 1 times
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sgodd_0298
2 years, 2 months ago
Selected Answer: A
https://learn.microsoft.com/en-us/azure/synapse-analytics/sql/develop-tables-statistics#statistics-in-serverless-sql-pool
upvoted 2 times
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DarioReymago
2 years, 2 months ago
Selected Answer: A
I select A: change the source is not needed. I don't know the sp in C. So updating statistics is the best selection (for example sp_drop_statistics)
upvoted 2 times
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LevaG
2 years, 3 months ago
Option C is the correct solution to resolve the query issue of the serverless SQL pool while minimizing the impact on the users by ChatGPT. By executing the sp_set_process_data_limit stored procedure, the size of tempdb can be controlled, preventing it from being exceeded and causing queries to fail occasionally. This stored procedure limits the amount of data that can be processed by each query, and it can be set at the query level or the session level. This solution is more efficient and cost-effective compared to moving the data from the serverless SQL pool to a dedicated SQL pool or Apache Spark pool. Updating statistics may improve query performance but it is not directly related to the tempdb size issue.
upvoted 2 times
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NickWerbung
2 years, 3 months ago
ChatGPT recommends: 1. Check the size of tempdb 2. Optimize queries 3. Monitor resource usage 4. Increase pool size 5. Consider dedicated SQL pool: If your workload requires more resources than the serverless SQL pool can provide, you may want to consider using a dedicated SQL pool.
upvoted 1 times
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whinycarebear
2 years, 3 months ago
Correct Answer is A but this is the correct link wih explanations referring to serverless sql pool: https://learn.microsoft.com/en-us/azure/synapse-analytics/sql/develop-tables-statistics#statistics-in-serverless-sql-pool
upvoted 1 times
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HN_3532
2 years, 4 months ago
shouldn't answer be A? "How to understand the Tempdb Usage and what are ways to fix this : Ensure table statistics are created and kept up to date. " https://www.linkedin.com/pulse/what-making-azure-synapse-dw-dedicated-pool-tempdb-reaching-mishra/
upvoted 1 times
manolet
2 years, 3 months ago
Read question carefully. They are asking about serverless pool, not dedicated.
upvoted 1 times
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A (35%)
C (25%)
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