Question 659 of 1,040
Design Resilient ArchitecturesmediumMultiple ChoiceObjective-mapped

Quick Answer

The answer is to configure a redrive policy with a dead-letter queue (DLQ) and set an appropriate visibility timeout greater than the maximum processing time. This directly addresses poison messages by moving them out of the main SQS queue after a defined number of failed processing attempts, preventing them from blocking other messages. The redrive policy specifies the maximum receives before a message is sent to the DLQ, while the visibility timeout ensures a consumer has enough time to process a message before it becomes visible again for retry, avoiding premature reprocessing. On the SAA-C03 exam, this scenario tests your understanding of decoupling patterns and error handling with SQS; a common trap is confusing the DLQ with simply increasing the visibility timeout alone, which does not isolate poison messages. A useful memory tip: “DLQ drains the poison, timeout prevents the rush.”

SAA-C03 Design Resilient Architectures Practice Question

This SAA-C03 practice question tests your understanding of design resilient architectures. The scenario asks you to isolate a root cause — eliminate options that address a different problem before choosing. After answering, compare your reasoning against the explanation and wrong-answer breakdown below. Once you have made your selection, read the full explanation to reinforce the concept and understand why each distractor is designed to mislead on exam day.

An order processing workflow uses Amazon SQS as the decoupling layer between a producer and a consumer Lambda function. The consumer intermittently fails due to a downstream dependency. The team has observed that certain “poison” messages keep being retried repeatedly and prevent other messages from being processed efficiently. Which SQS configuration most directly addresses this issue?

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Answer choices

Why each option matters

Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.

Correct answer & explanation

Configure a redrive policy with a dead-letter queue (DLQ) and set an appropriate visibility timeout greater than the maximum processing time.

Option C is correct because configuring a redrive policy with a dead-letter queue (DLQ) allows messages that repeatedly fail processing to be moved out of the main queue after a specified number of receive attempts. Setting an appropriate visibility timeout greater than the maximum processing time ensures that messages are not made visible again before the consumer finishes processing, preventing premature retries. This directly isolates poison messages so they no longer block the processing of other messages in the queue.

Key principle: Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.

Answer analysis

Option-by-option breakdown

For each option: why learners choose it and why it is or isn't the right answer here.

  • Set the SQS queue’s retention period to 10 years and rely on application retries to eventually succeed.

    Why it's wrong here

    Retention affects how long messages remain available, but it doesn’t isolate repeatedly failing messages.

  • Increase visibility timeout to a very large value and avoid dead-letter queues to keep ordering stable.

    Why it's wrong here

    Long visibility time can delay failures, but it does not provide dead-letter isolation for poison messages.

  • Configure a redrive policy with a dead-letter queue (DLQ) and set an appropriate visibility timeout greater than the maximum processing time.

    Why this is correct

    A DLQ isolates poison messages after a receive count threshold, and correct visibility timeout prevents premature retries.

    Related concept

    Read the scenario before looking for a memorised answer.

  • Switch the queue to FIFO and remove retries in the Lambda event source mapping entirely.

    Why it's wrong here

    FIFO and disabling retries do not reliably solve poison message isolation without DLQ-based redriving.

Common exam traps

Common exam trap: answer the scenario, not the keyword

The trap here is that candidates may think increasing visibility timeout or switching to FIFO alone will handle failed messages, but without a DLQ, poison messages remain in the queue and continue to block other messages, which is the core issue described.

Detailed technical explanation

How to think about this question

Under the hood, SQS uses a redrive policy with a `maxReceiveCount` threshold; once a message is received that many times without being deleted, it is automatically moved to the configured DLQ. The visibility timeout must be set to at least the maximum expected processing time of the consumer Lambda, otherwise messages can become visible again while still being processed, leading to duplicate processing and potential race conditions. In real-world scenarios, poison messages often result from transient downstream failures or malformed data, and the DLQ allows operators to inspect and reprocess them manually or via a separate remediation workflow.

KKey Concepts to Remember

  • Read the scenario before looking for a memorised answer.
  • Find the constraint that changes the correct option.
  • Eliminate answers that are true in general but not in this case.

TExam Day Tips

  • Watch for words such as best, first, most likely and least administrative effort.
  • Review why wrong options are wrong, not only why the correct option is correct.

Key takeaway

Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.

Real-world example

How this comes up in practice

A cloud solutions architect for a retail company is evaluating services for a new workload. The correct answer here reflects best practice for the specific scenario described — not a general cloud recommendation. Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option. Cloud exam questions reward reading the constraint carefully: the same technology can be right or wrong depending on the use case.

What to study next

Got this wrong? Here's your next step.

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FAQ

Questions learners often ask

What does this SAA-C03 question test?

Design Resilient Architectures — This question tests Design Resilient Architectures — Read the scenario before looking for a memorised answer..

What is the correct answer to this question?

The correct answer is: Configure a redrive policy with a dead-letter queue (DLQ) and set an appropriate visibility timeout greater than the maximum processing time. — Option C is correct because configuring a redrive policy with a dead-letter queue (DLQ) allows messages that repeatedly fail processing to be moved out of the main queue after a specified number of receive attempts. Setting an appropriate visibility timeout greater than the maximum processing time ensures that messages are not made visible again before the consumer finishes processing, preventing premature retries. This directly isolates poison messages so they no longer block the processing of other messages in the queue.

What should I do if I get this SAA-C03 question wrong?

Identify which exam domain this question belongs to, review the core concept, then practise similar questions from the same domain.

What is the key concept behind this question?

Read the scenario before looking for a memorised answer.

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Last reviewed: Jun 11, 2026

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This SAA-C03 practice question is part of Courseiva's free Amazon Web Services certification practice question bank. Courseiva provides original exam-style practice questions with explanations, topic-based practice, mock exams, readiness tracking, and study analytics to help learners prepare for the SAA-C03 exam.