- A
Increase the SQS visibility timeout and, when validation fails, call DeleteMessage in the consumer to remove the message immediately.
Why wrong: Increasing visibility reduces redelivery temporarily, but it does not implement a poison-message quarantine strategy. Deleting invalid messages immediately removes evidence and prevents systematic handling (for example, inspection or correction) of the poison messages.
- B
Move to SNS topics with subscriptions and rely on SNS to provide exactly-once delivery to eliminate duplicates automatically.
Why wrong: SNS does not provide exactly-once delivery guarantees. Duplicate deliveries can still occur due to retries and downstream failures, so you still need an idempotency strategy to protect side effects.
- C
Configure a dead-letter queue (DLQ) with a redrive policy that moves messages after maxReceiveCount, and implement idempotent processing in the consumer using an idempotency key.
SQS Standard is at-least-once delivery, so timeouts can cause redelivery and duplicates. A DLQ with a redrive policy prevents poison messages from retrying forever by moving them after repeated failures. Idempotent processing (for example, storing a processed marker in a database with conditional logic keyed by an idempotency key) prevents duplicate side effects when retries occur for valid messages.
- D
Change the queue to FIFO and enable content-based deduplication, leaving the consumer logic unchanged.
Why wrong: FIFO with content-based deduplication may reduce some duplicates, but it does not guarantee protection against duplicate side effects when the consumer times out or fails after partially processing. Poison-message retry loops still need a DLQ/redrive approach, and idempotency is still required to make processing safe under retries.
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 order-processing service consumes messages from an Amazon SQS Standard queue using a custom worker. During traffic spikes, the worker occasionally times out after performing some work but before acknowledging the message, so SQS redelivers it and it may be processed again.
You also observe that a small set of “poison” messages always fail validation.
What change most directly improves resilience by (1) preventing poison messages from retrying indefinitely and (2) avoiding duplicate side effects caused by legitimate retries?
Clue words in this question
Noticing these words before you look at the options changes how you read each choice.
Clue:
"always"Why it matters: Absolute qualifier. An answer using 'always' is only correct if there are genuinely no exceptions — absolute statements are often wrong in networking.
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 dead-letter queue (DLQ) with a redrive policy that moves messages after maxReceiveCount, and implement idempotent processing in the consumer using an idempotency key.
Option C is correct because a dead-letter queue (DLQ) with a maxReceiveCount redrive policy directly addresses the poison message problem by moving messages that repeatedly fail validation out of the main queue after a set number of retries, preventing indefinite retries. Implementing idempotent processing using an idempotency key ensures that even if a legitimate message is redelivered due to a visibility timeout, the consumer can detect and skip duplicate side effects, thus solving both requirements most directly.
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 and, when validation fails, call DeleteMessage in the consumer to remove the message immediately.
Why it's wrong here
Increasing visibility reduces redelivery temporarily, but it does not implement a poison-message quarantine strategy. Deleting invalid messages immediately removes evidence and prevents systematic handling (for example, inspection or correction) of the poison messages.
- ✗
Move to SNS topics with subscriptions and rely on SNS to provide exactly-once delivery to eliminate duplicates automatically.
Why it's wrong here
SNS does not provide exactly-once delivery guarantees. Duplicate deliveries can still occur due to retries and downstream failures, so you still need an idempotency strategy to protect side effects.
- ✓
Configure a dead-letter queue (DLQ) with a redrive policy that moves messages after maxReceiveCount, and implement idempotent processing in the consumer using an idempotency key.
Why this is correct
SQS Standard is at-least-once delivery, so timeouts can cause redelivery and duplicates. A DLQ with a redrive policy prevents poison messages from retrying forever by moving them after repeated failures. Idempotent processing (for example, storing a processed marker in a database with conditional logic keyed by an idempotency key) prevents duplicate side effects when retries occur for valid messages.
Clue confirmation
The clue word "always" in the question point toward this answer.
Related concept
Read the scenario before looking for a memorised answer.
- ✗
Change the queue to FIFO and enable content-based deduplication, leaving the consumer logic unchanged.
Why it's wrong here
FIFO with content-based deduplication may reduce some duplicates, but it does not guarantee protection against duplicate side effects when the consumer times out or fails after partially processing. Poison-message retry loops still need a DLQ/redrive approach, and idempotency is still required to make processing safe under retries.
Common exam traps
Common exam trap: answer the scenario, not the keyword
The trap here is that candidates often confuse FIFO queues as a universal solution for both deduplication and poison message handling, but FIFO only provides exactly-once processing within a deduplication window and does not automatically handle poison messages without a DLQ, nor does it address idempotency for retries outside that window.
Detailed technical explanation
How to think about this question
Under the hood, SQS Standard queues offer at-least-once delivery, meaning duplicates are inherent; a DLQ with maxReceiveCount (e.g., 3 or 5) moves messages to the DLQ after that many receives, effectively acting as a poison message sink. Idempotency keys, often implemented as a unique identifier in the message body or attributes, allow the consumer to check a deduplication store (e.g., DynamoDB with TTL) before processing, ensuring that even if the same message is redelivered after a visibility timeout, the side effect (e.g., order processing) is not repeated. In real-world scenarios, this combination is critical for financial transactions where duplicate charges or order fulfillments must be avoided.
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 dead-letter queue (DLQ) with a redrive policy that moves messages after maxReceiveCount, and implement idempotent processing in the consumer using an idempotency key. — Option C is correct because a dead-letter queue (DLQ) with a maxReceiveCount redrive policy directly addresses the poison message problem by moving messages that repeatedly fail validation out of the main queue after a set number of retries, preventing indefinite retries. Implementing idempotent processing using an idempotency key ensures that even if a legitimate message is redelivered due to a visibility timeout, the consumer can detect and skip duplicate side effects, thus solving both requirements most directly.
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.
Are there clue words in this question I should notice?
Yes — watch for: "always". Absolute qualifier. An answer using 'always' is only correct if there are genuinely no exceptions — absolute statements are often wrong in networking.
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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