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Dead Letter Queue

5 minutes 5 Questions

A Dead Letter Queue (DLQ) is a special queue that stores messages that could not be processed by the main queue after multiple delivery attempts. These messages might require manual review or could indicate a bug in the processing logic. DLQ provides a way to isolate and handle these messages separ…

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AWS Certified Solutions Architect - Dead Letter Queue Example Questions

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Question 1

You have an Amazon Lambda function processing messages from an SQS queue, and you want to implement a mechanism to handle messages that cannot be processed. What should you do?

Correct Answer: Use an SQS Dead Letter Queue as the Lambda on-failure event destination.

A Dead Letter Queue (DLQ) can be specified as the on-failure event destination for messages that cannot be processed by the Lambda function. This allows for storage and analysis of unprocessed messages.

Question 2

An application is consuming messages from Amazon SQS, occasionally some messages fail to process due to an application bug. Which SQS feature can help diagnose and fix the problem?

Correct Answer: Dead Letter Queue

Dead Letter Queue can help diagnose and fix the problem by storing failed messages for further analysis, while other options such as Visibility Timeout, Long Polling, FIFO Queues, and Message Retention Period, do not provide solutions to handle failed messages.

Question 3

A developer is working on a serverless application that makes use of AWS Lambda and Amazon SQS. The Lambda function processes SQS messages, but some messages are not being processed. How can unprocessed messages be stored and later analyzed?

Correct Answer: Configure the Lambda function's event source with a Dead Letter Queue.

Configuring the Lambda function's event source with a Dead Letter Queue ensures that unprocessed messages are stored and can be later analyzed. This is the most efficient way to handle unprocessed messages in a serverless application.

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