An application processes messages from an Amazon SQS queue. Occasionally, a message causes the processing application to crash, and the message is returned to the queue, creating an infinite loop of failures. How can a solutions architect prevent these 'poison pill' messages from blocking the queue?

Answer options:

Increase the visibility timeout of the SQS queue.

Configure a Dead-Letter Queue (DLQ) and set the maxReceiveCount.

Use an SQS FIFO queue instead of a standard queue.

Enable long polling on the SQS queue.

How to approach this question

Identify the term 'poison pill' or 'infinite loop of failures' and match it with Dead-Letter Queue (DLQ).

Full Answer

B.Configure a Dead-Letter Queue (DLQ) and set the maxReceiveCount.✓ Correct

Configure a Dead-Letter Queue (DLQ) and set the maxReceiveCount.

A Dead-Letter Queue (DLQ) is an SQS queue that other queues can target for messages that can't be processed successfully. You configure a redrive policy with a `maxReceiveCount`. When a message is received that many times without being deleted, it is moved to the DLQ.

Common mistakes

Choosing visibility timeout, which only hides the message temporarily before it fails again.

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