- A
Lambda reserved concurrency set to zero
Why wrong: Reserved concurrency of zero stops processing and does not preserve failed events as an error-handling strategy.
- B
A Lambda dead-letter queue or failure destination
A DLQ or asynchronous failure destination captures failed events after retry attempts.
- C
A larger deployment package
Why wrong: Package size does not affect failed-event capture.
- D
CloudFront error pages
Why wrong: CloudFront does not manage Lambda asynchronous retry failures.
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.
A inventory service uses Lambda functions that call an unreliable third-party API. Failed events must be retained for later investigation after retries are exhausted. What should be configured?
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
A Lambda dead-letter queue or failure destination
Lambda dead-letter queues (DLQs) or failure destinations are the correct mechanism to retain failed events after all retries are exhausted. When a Lambda function fails to process an event (e.g., from an asynchronous invocation), the service automatically retries twice. If those retries fail, the event can be sent to an SQS queue or SNS topic (DLQ) or to a specified destination (failure destination) for later investigation. This ensures no data loss and provides a durable storage for post-mortem analysis.
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.
- ✗
Lambda reserved concurrency set to zero
Why it's wrong here
Reserved concurrency of zero stops processing and does not preserve failed events as an error-handling strategy.
- ✓
A Lambda dead-letter queue or failure destination
Why this is correct
A DLQ or asynchronous failure destination captures failed events after retry attempts.
Related concept
Read the scenario before looking for a memorised answer.
- ✗
A larger deployment package
Why it's wrong here
Package size does not affect failed-event capture.
- ✗
CloudFront error pages
Why it's wrong here
CloudFront does not manage Lambda asynchronous retry failures.
Common exam traps
Common exam trap: answer the scenario, not the keyword
The trap here is that candidates may confuse DLQs with retry mechanisms or think that increasing function resources (like memory or package size) will prevent failures, when in fact DLQs are the only way to durably capture events after retries are exhausted.
Detailed technical explanation
How to think about this question
Lambda's asynchronous invocation model automatically retries failed invocations twice (for a total of three attempts) with a delay between retries. If all retries fail, the event can be routed to a DLQ (SQS or SNS) or a failure destination (SQS, SNS, Lambda, or EventBridge). DLQs are configured on the function version or alias, while failure destinations are set on the function's event invoke configuration. Note that DLQs are only supported for asynchronous invocations, not synchronous (e.g., API Gateway) or stream-based (e.g., DynamoDB Streams) invocations.
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 startup's cloud architect reviews their monthly bill and notices costs are higher than expected for a long-running batch job. Switching from on-demand instances to Reserved Instances — or using Spot/Preemptible VMs — can reduce compute costs by up to 72 %. Questions like this test whether you understand the tradeoffs between commitment, flexibility, and cost across cloud pricing models.
What to study next
Got this wrong? Here's your next step.
Identify which exam domain this question belongs to, review the core concept, then practise similar questions from the same domain.
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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: A Lambda dead-letter queue or failure destination — Lambda dead-letter queues (DLQs) or failure destinations are the correct mechanism to retain failed events after all retries are exhausted. When a Lambda function fails to process an event (e.g., from an asynchronous invocation), the service automatically retries twice. If those retries fail, the event can be sent to an SQS queue or SNS topic (DLQ) or to a specified destination (failure destination) for later investigation. This ensures no data loss and provides a durable storage for post-mortem analysis.
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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