A company releases a new application in a new AWS account. The application includes an AWS Lambda function that processes messages from an Amazon Simple Queue Service (Amazon SQS) standard queue. The Lambda function stores the results in an Amazon S3 bucket for further downstream processing. The Lambda function needs to process the messages within a specific period of time after the messages are published. The Lambda function has a batch size of 10 messages and takes a few seconds to process a batch of messages.
As load increases on the application's first day of service, messages in the queue accumulate at a greater rate than the Lambda function can process the messages. Some messages miss the required processing timelines. The logs show that many messages in the queue have data that is not valid. The company needs to meet the timeline requirements for messages that have valid data.
Which solution will meet these requirements?

A. Increase the Lambda function's batch size. Change the SQS standard queue to an SQS FIFO queue. Request a Lambda concurrency increase in the AWS Region.

B. Reduce the Lambda function's batch size. Increase the SQS message throughput quota. Request a Lambda concurrency increase in the AWS Region.

C. Increase the Lambda function's batch size. Configure S3 Transfer Acceleration on the S3 bucket. Configure an SQS dead-letter queue.

D. Keep the Lambda function's batch size the same. Configure the Lambda function to report failed batch items. Configure an SQS dead-letter queue.








 

Suggested Answer: D

Community Answer: D




This question is in DOP-C02 AWS Certified DevOps Engineer – Professional Exam
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