- A
Increase the SQS visibility timeout to several hours so the worker does not retry too quickly.
Why wrong: A longer visibility timeout only delays retries. Poison messages can still reappear after the timeout and continue consuming processing capacity over time; it does not quarantine messages after a defined number of failures.
- B
Configure a redrive policy with a Dead-Letter Queue (DLQ) and set maxReceiveCount so poison messages are moved to the DLQ after repeated failures.
An SQS DLQ with a redrive policy is specifically designed for poison-message handling. When a message exceeds maxReceiveCount without successful processing (for example, the worker crashes before deletion), SQS moves the message to the DLQ. This quarantines bad messages and protects throughput for valid messages.
- C
Switch the queue to an SNS topic and subscribe the worker directly, eliminating message retries.
Why wrong: SNS-to-SQS delivery still needs application-level failure handling, and SNS does not provide the same poison-message quarantine mechanism as SQS DLQs with maxReceiveCount. The underlying issue (failed processing and retry/redelivery) would still need a strategy to isolate bad messages.
- D
Enable KMS encryption with a new CMK to ensure validation errors stop occurring.
Why wrong: KMS encryption affects data at rest and access control. It does not change message contents or the worker’s validation logic, so it cannot stop validation failures or worker crash/retry loops.
SAA-C03 Design Resilient Architectures Practice Question
This SAA-C03 practice question tests your understanding of design resilient architectures. Match the stated requirement to the specific cloud service, access model, or configuration option — many options are valid in isolation but not for this scenario. 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 internal worker consumes messages from an Amazon SQS Standard queue. Recently, some messages fail validation in the worker (for example, missing required fields), causing the worker to crash before it can successfully process those messages. Those messages keep getting retried repeatedly, slowing down processing of valid messages. The team wants a resilient mechanism to quarantine bad messages after a limited number of receive attempts. What should they implement?
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 maxReceiveCount so poison messages are moved to the DLQ after repeated failures.
Option B is correct because Amazon SQS supports configuring a redrive policy with a Dead-Letter Queue (DLQ) that automatically moves messages after a specified number of receive attempts (maxReceiveCount). This isolates poison messages that fail validation and cause crashes, preventing them from being retried indefinitely and slowing down valid message processing. The worker can then focus on valid messages while the DLQ stores the problematic ones for later analysis or manual intervention.
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.
- ✗
Increase the SQS visibility timeout to several hours so the worker does not retry too quickly.
Why it's wrong here
A longer visibility timeout only delays retries. Poison messages can still reappear after the timeout and continue consuming processing capacity over time; it does not quarantine messages after a defined number of failures.
- ✓
Configure a redrive policy with a Dead-Letter Queue (DLQ) and set maxReceiveCount so poison messages are moved to the DLQ after repeated failures.
Why this is correct
An SQS DLQ with a redrive policy is specifically designed for poison-message handling. When a message exceeds maxReceiveCount without successful processing (for example, the worker crashes before deletion), SQS moves the message to the DLQ. This quarantines bad messages and protects throughput for valid messages.
Related concept
Read the scenario before looking for a memorised answer.
- ✗
Switch the queue to an SNS topic and subscribe the worker directly, eliminating message retries.
Why it's wrong here
SNS-to-SQS delivery still needs application-level failure handling, and SNS does not provide the same poison-message quarantine mechanism as SQS DLQs with maxReceiveCount. The underlying issue (failed processing and retry/redelivery) would still need a strategy to isolate bad messages.
- ✗
Enable KMS encryption with a new CMK to ensure validation errors stop occurring.
Why it's wrong here
KMS encryption affects data at rest and access control. It does not change message contents or the worker’s validation logic, so it cannot stop validation failures or worker crash/retry loops.
Common exam traps
Common exam trap: answer the scenario, not the keyword
The trap here is that candidates may think increasing the visibility timeout (Option A) solves the retry problem, but it only delays retries without eliminating the root cause, while the DLQ mechanism (Option B) provides a proper quarantine by moving messages after a configurable number of receive attempts.
Detailed technical explanation
How to think about this question
The SQS redrive policy uses the maxReceiveCount parameter to track how many times a message has been received (via the ReceiveCount attribute) but not deleted; once the count exceeds the threshold, the message is automatically moved to the configured DLQ. Under the hood, SQS increments the receive count each time a consumer calls ReceiveMessage and does not delete the message, even if the consumer crashes before processing. In real-world scenarios, teams often set maxReceiveCount to a small value (e.g., 3–5) to quickly quarantine poison messages while still allowing transient failures to retry, and they monitor the DLQ with CloudWatch alarms to trigger alerts for manual inspection or automated reprocessing.
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 maxReceiveCount so poison messages are moved to the DLQ after repeated failures. — Option B is correct because Amazon SQS supports configuring a redrive policy with a Dead-Letter Queue (DLQ) that automatically moves messages after a specified number of receive attempts (maxReceiveCount). This isolates poison messages that fail validation and cause crashes, preventing them from being retried indefinitely and slowing down valid message processing. The worker can then focus on valid messages while the DLQ stores the problematic ones for later analysis or manual intervention.
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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