A company created an application to consume and process dat
a. The application uses Amazon SQS and AWS Lambda functions. The application is currently working as expected, but it occasionally receives several messages that it cannot process properly. The company needs to clear these messages to prevent the queue from becoming blocked. A developer must implement a solution that makes queue processing always operational. The solution must give the company the ability to defer the messages with errors and save these messages for further analysis. What is the MOST operationally efficient solution that meets these requirements?
Using a dead-letter queue (DLQ) with Amazon SQS is the most operationally efficient solution for handling unprocessable messages.
Amazon SQS Dead-Letter Queue:
A DLQ is used to capture messages that fail processing after a specified number of attempts.
Allows the application to continue processing other messages without being blocked.
Messages in the DLQ can be analyzed later for debugging and resolution.
Why DLQ is the Best Option:
Operational Efficiency: Automatically defers messages with errors, ensuring the queue is not blocked.
Analysis Ready: Messages in the DLQ can be inspected to identify recurring issues.
Scalable: Works seamlessly with Lambda and SQS at scale.
Why Not Other Options:
Option A: Logs the messages but does not resolve the queue blockage issue.
Option C: FIFO queues and 0-second retention do not provide error handling or analysis capabilities.
Option D: Alerts administrators but does not handle or store the unprocessable messages.
Steps to Implement:
Create a new SQS queue to serve as the DLQ.
Attach the DLQ to the primary queue and configure the Maximum Receives setting.
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