Microsoft Certified Azure Data Engineer Associate · Free Practice Question Medium
Question 2
Scenario: Pym Tech is a U.S. based Technology manufacturer headed by Hank Pym. Their headquarters is located at Treasure Island, San Francisco California and business is booming.
The expansion plans are underway which have presented several IT challenges which Hank has contracted you to advise his IT staff on.
At the moment, the topic is monitoring an Azure Stream Analytics job. The Backlogged Input Events count has been 20 for the last hour. Frank wants to reduce the Backlogged Input Events count.
Which of the following should you recommend Hank to do?
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A
Drop late arriving events from the job.
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B
Add an Azure Storage account to the job.
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C
Increase the streaming units for the job.
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D
Stop the job.
Reveal correct answer
Correct answer: C
Explanation
You recommend Hank to increase the streaming units for the job.
General symptoms of the job hitting system resource limits include:
If the backlog event metric keeps increasing, its an indicator that the system resource is constrained (either because of output sink throttling, or high CPU).
Number of input events that are backlogged. A non-zero value for this metric implies that your job isn't able to keep up with the number of incoming events. If this value is slowly increasing or consistently non-zero, you should scale out your job: adjust Streaming Units.
Understand Stream Analytics job monitoring and how to monitor queries
The Azure portal surfaces key performance metrics that can be used to monitor and troubleshoot your query and job performance. To see these metrics, browse to the Stream Analytics job you are interested in seeing metrics for and view the Monitoring section on the Overview page.
The window will appear as shown:
A. Dropping late arriving events from the job may not directly address the issue of reducing the Backlogged Input Events count. It is more focused on handling out-of-order events rather than reducing the backlog.
B. Adding an Azure Storage account to the job may provide additional storage capabilities but may not directly impact the Backlogged Input Events count. It is more related to storing data rather than processing and reducing backlog.
C. Increasing the streaming units for the job will help improve the processing capacity of the Azure Stream Analytics job, which can help reduce the Backlogged Input Events count by handling incoming data more efficiently.
D. Stopping the job will halt the processing altogether, which will not help in reducing the Backlogged Input Events count. It is not a recommended solution for addressing the issue at hand.
Discussion
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