- 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 larger deployment package
Why wrong: Package size does not affect failed-event capture.
- C
CloudFront error pages
Why wrong: CloudFront does not manage Lambda asynchronous retry failures.
- D
A Lambda dead-letter queue or failure destination
A DLQ or asynchronous failure destination captures failed events after retry attempts.
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. A key principle to apply: dLQs/failure destinations are for asynchronous Lambda invocations.. 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 content publishing system 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? The architecture review board prefers a managed AWS-native control.
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
Option D is correct because Lambda dead-letter queues (DLQs) or failure destinations are the managed AWS-native way to capture events that have exhausted all retry attempts from an asynchronous invocation. When the Lambda function fails after the configured number of retries (default 3), the event is automatically sent to an SQS queue or SNS topic (DLQ) or to a specified destination (e.g., SQS, SNS, EventBridge) for later investigation and reprocessing.
Key principle: DLQs/failure destinations are for asynchronous Lambda invocations.
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 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.
- ✓
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
DLQs/failure destinations are for asynchronous Lambda invocations.
Common exam traps
Common exam trap: answer the scenario, not the keyword
The trap here is that candidates may confuse Lambda's synchronous invocation retry behavior (which is controlled by the caller) with asynchronous invocation retries (which are managed by Lambda itself and require a DLQ or failure destination for post-retry capture).
Detailed technical explanation
How to think about this question
Lambda's asynchronous invocation retries twice more after the initial failure (total 3 attempts) with a backoff between 1 second and 5 minutes. If all retries fail, the event is either discarded or sent to a DLQ (SQS/SNS) if configured, or to a failure destination (SQS, SNS, Lambda, EventBridge) if using destinations. The DLQ approach is older; failure destinations are the newer, more flexible mechanism that allows routing to multiple targets and includes success/failure filtering.
KKey Concepts to Remember
- DLQs/failure destinations are for asynchronous Lambda invocations.
- They capture the full event payload of failed invocations.
- Common destinations are SQS queues or SNS topics.
- They are configured directly on the Lambda function.
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
DLQs/failure destinations are for asynchronous Lambda invocations.
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.
Review dLQs/failure destinations are for asynchronous Lambda invocations., then practise related SAA-C03 questions on the same topic to reinforce the concept.
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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 — DLQs/failure destinations are for asynchronous Lambda invocations..
What is the correct answer to this question?
The correct answer is: A Lambda dead-letter queue or failure destination — Option D is correct because Lambda dead-letter queues (DLQs) or failure destinations are the managed AWS-native way to capture events that have exhausted all retry attempts from an asynchronous invocation. When the Lambda function fails after the configured number of retries (default 3), the event is automatically sent to an SQS queue or SNS topic (DLQ) or to a specified destination (e.g., SQS, SNS, EventBridge) for later investigation and reprocessing.
What should I do if I get this SAA-C03 question wrong?
Review dLQs/failure destinations are for asynchronous Lambda invocations., then practise related SAA-C03 questions on the same topic to reinforce the concept.
What is the key concept behind this question?
DLQs/failure destinations are for asynchronous Lambda invocations.
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Last reviewed: Jun 11, 2026
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