SAA-C03 Design Resilient Architectures Practice Question
This SAA-C03 practice question tests your understanding of design resilient architectures. This is a configuration task: choose the command set that satisfies every stated requirement. Small differences — like 'secret' vs 'password' or 'transport input ssh' vs 'all' — change whether the answer is correct. 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 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 design must avoid adding custom operational scripts.
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
A Lambda dead-letter queue (DLQ) or failure destination is the correct solution because it captures events that have exhausted all retry attempts from an asynchronous Lambda invocation. This allows failed events to be retained in an Amazon SQS queue or SNS topic for later investigation, without requiring custom operational scripts. The DLQ or failure destination integrates directly with Lambda's built-in retry behavior, ensuring that only events that fail after the configured number of retries are sent to the destination.
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 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
Read the scenario before looking for a memorised answer.
Common exam traps
Common exam trap: answer the scenario, not the keyword
The trap here is that candidates may confuse a DLQ with other error-handling mechanisms like CloudFront error pages or reserved concurrency, but only a DLQ or failure destination directly captures failed asynchronous Lambda events without custom code.
Detailed technical explanation
How to think about this question
Lambda's asynchronous invocation mode automatically retries failed invocations twice (for a total of three attempts) with a delay between retries. The dead-letter queue (DLQ) is configured on the function's asynchronous invocation settings, and can be an SQS queue or SNS topic. When all retries are exhausted, the event payload is sent to the DLQ, where it can be stored indefinitely (depending on SQS retention settings) for manual or automated reprocessing. Failure destinations, a newer feature, provide more granular control by allowing different destinations for success and failure events, and can include SQS, SNS, Lambda, or EventBridge.
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.
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 — A Lambda dead-letter queue (DLQ) or failure destination is the correct solution because it captures events that have exhausted all retry attempts from an asynchronous Lambda invocation. This allows failed events to be retained in an Amazon SQS queue or SNS topic for later investigation, without requiring custom operational scripts. The DLQ or failure destination integrates directly with Lambda's built-in retry behavior, ensuring that only events that fail after the configured number of retries are sent to the destination.
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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Question Discussion
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