Exam AWS Certified DevOps Engineer - Professional DOP-C02 topic 1 question 12 discussion

Exam question from Amazon's AWS Certified DevOps Engineer - Professional DOP-C02

Question #: 12
Topic #: 1

[All AWS Certified DevOps Engineer - Professional DOP-C02 Questions]

An ecommerce company is receiving reports that its order history page is experiencing delays in reflecting the processing status of orders. The order processing system consists of an AWS Lambda function that uses reserved concurrency. The Lambda function processes order messages from an Amazon Simple Queue Service (Amazon SQS) queue and inserts processed orders into an Amazon DynamoDB table. The DynamoDB table has auto scaling enabled for read and write capacity.
Which actions should a DevOps engineer take to resolve this delay? (Choose two.)

A. Check the ApproximateAgeOfOldestMessage metric for the SQS queue. Increase the Lambda function concurrency limit.
B. Check the ApproximateAgeOfOldestMessage metnc for the SQS queue Configure a redrive policy on the SQS queue.
C. Check the NumberOfMessagesSent metric for the SQS queue. Increase the SQS queue visibility timeout.
D. Check the WriteThrottleEvents metric for the DynamoDB table. Increase the maximum write capacity units (WCUs) for the table's scaling policy.
E. Check the Throttles metric for the Lambda function. Increase the Lambda function timeout.

Show Suggested Answer

Suggested Answer: AD 🗳️

by ele at April 7, 2023, 2:59 p.m.

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Comments

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madperro

Highly Voted 2 years ago

Selected Answer: AD

AD look fine.

upvoted 10 times

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kiwtirApp

Most Recent 1 year, 1 month ago

Everyone who has commented AD has not provided any reasoning. Bunch of sheeps in the comments.

upvoted 3 times

tgv

1 year ago

D: This action is important because if the WriteThrottleEvents metric is high, it indicates that DynamoDB is throttling writes due to insufficient write capacity. By increasing the maximum WCUs, you ensure that the table can handle the increased write throughput required by the Lambda function, thus reducing delays in order processing. even though DynamoDB has auto-scaling enabled, it’s still important to monitor the WriteThrottleEvents metric. Auto-scaling adjusts capacity based on the workload, but it may not always keep up with sudden spikes in demand or be configured optimally for this specific use case. Ensuring that the maximum write capacity units (WCUs) are set appropriately can help prevent throttling during peak times.

upvoted 4 times

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thanhnv142

1 year, 5 months ago

A and D is correct: A: Check ApproximateAgeOfOldestMessage and increase concurrency accordingly D: Check throttleevent (the number of rejected requests) and increase max write accordingly.

upvoted 3 times

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SPRao

1 year, 7 months ago

Answer should be A & C. D is wrong as DynamoDB has autoscaling enabled so Writethrottle should not be the case.

upvoted 3 times

harithzainudin

1 year, 6 months ago

Eventhough the statement say "The DynamoDB table has auto scaling enabled for read and write capacity." A and D still are a good answer. Option C looks at the NumberOfMessagesSent metric and suggests increasing the SQS queue visibility timeout. This action is more relevant when messages are not being processed before the visibility timeout expires, but it does not seem to be the primary issue in this scenario.

upvoted 3 times

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Jonfernz

1 year, 9 months ago

A: Check the ApproximateAgeOfOldestMessage metric for the SQS queue. If this age is high, increasing the Lambda function's concurrency limit would help speed up processing. D: Check the WriteThrottleEvents metric for the DynamoDB table. If write operations are being throttled, increasing the maximum WCUs for the table’s scaling policy could help.

upvoted 4 times

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