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Exam DP-200 topic 4 question 8 discussion

Actual exam question from Microsoft's DP-200

Question #: 8
Topic #: 4

You have an Azure Stream Analytics job.
You need to ensure that the job has enough streaming units provisioned.
You configure monitoring of the SU% Utilization metric.
Which two additional metrics should you monitor? Each correct answer presents part of the solution.
NOTE: Each correct selection is worth one point.

A. Watermark Delay
B. Late Input Events
C. Out of order Events
D. Backlogged Input Events
E. Function Events

Show Suggested Answer

Suggested Answer: BD 🗳️
B: Late Input Events: events that arrived later than the configured late arrival tolerance window.
Note: While comparing utilization over a period of time, use event rate metrics. InputEvents and OutputEvents metrics show how many events were read and processed.
D: In job diagram, there is a per partition backlog event metric for each input. If the backlog event metric keeps increasing, it's also an indicator that the system resource is constrained (either because of output sink throttling, or high CPU).
Reference:
https://docs.microsoft.com/en-us/azure/stream-analytics/stream-analytics-scale-jobs

by AJMorgan591 at Sept. 7, 2020, 2:31 a.m.

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AJMorgan591

Highly Voted 4 years, 8 months ago

The correct answer is A, D. B, C, E are unrelated to resource constraints. https://docs.microsoft.com/en-us/azure/stream-analytics/stream-analytics-monitoring https://docs.microsoft.com/en-us/azure/stream-analytics/stream-analytics-time-handling

upvoted 36 times

pablocg

4 years, 8 months ago

I agree. According to the docs, Arrival time is set on the source, so unrelated to the performance of ASA. It will be better to monitor Watermark Delay that indicates "the delay of the streaming data processing job"

upvoted 1 times

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dzzz

4 years, 5 months ago

Your first link well supports A, D. "If resource utilization is consistently over 80%, the watermark delay is rising, and the number of backlogged events is rising, consider increasing streaming units."

upvoted 4 times

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ramelas

Most Recent 3 years, 5 months ago

the same question is in dp300 and the correct answer is A and D

upvoted 2 times

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nav9

3 years, 11 months ago

It's A & D.

upvoted 1 times

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vak2021

3 years, 11 months ago

https://docs.microsoft.com/en-us/azure/stream-analytics/stream-analytics-streaming-unit-consumption

upvoted 1 times

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Maddaa

4 years ago

Agree with A & D

upvoted 1 times

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Wendy_DK

4 years, 1 month ago

it should be AD

upvoted 1 times

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lky17

4 years, 7 months ago

AD should be selected Identifying Bottlenecks Use the Metrics pane in your Azure Stream Analytics job to identify bottlenecks in your pipeline. Review Input/Output Events for throughput and "Watermark Delay" or Backlogged Events to see if the job is keeping up with the input rate. For Event Hub metrics, look for Throttled Requests and adjust the Threshold Units accordingly. For Cosmos DB metrics, review Max consumed RU/s per partition key range under Throughput to ensure your partition key ranges are uniformly consumed. For Azure SQL DB, monitor Log IO and CPU. https://docs.microsoft.com/en-us/azure/stream-analytics/stream-analytics-parallelization#identifying-bottlenecks

upvoted 4 times

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M0e

4 years, 7 months ago

AD should be selected

upvoted 3 times

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