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Question 441 of 1,040

Design Resilient Architectures →easyMultiple ChoiceObjective-mapped

Quick Answer

The answer is to use Amazon SQS as a buffer between the event source and Lambda, with an SQS dead-letter queue (DLQ). This design directly addresses throttling by decoupling the event producer from the Lambda consumer, allowing SQS to absorb traffic spikes and hold messages until the database recovers. The Lambda event source mapping automatically polls the SQS buffer and retries failed invocations, while the DLQ isolates messages that exceed the maximum retry threshold, preventing message loss and enabling later inspection. On the SAA-C03 exam, this scenario tests your understanding of how SQS acts as a shock absorber for Lambda-based architectures, often appearing in questions about handling throttling, retries, and failed message isolation. A common trap is to suggest Lambda’s built-in retries alone, but without a buffer, those retries can still cause data loss during sustained spikes. Memory tip: think of SQS as the “shock absorber” and the DLQ as the “quarantine zone” for stubborn messages.

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.

An order system receives events and uses a Lambda function to write each order into a database. During traffic spikes, the database sometimes throttles, and Lambda retries lead to occasional message loss in the event flow. The team wants buffering, automatic retries, and a way to isolate messages that repeatedly fail so they can be inspected later. What design change best meets this need?

Clue words in this question

Noticing these words before you look at the options changes how you read each choice.

Clue: "best"
Why it matters: Signals that multiple options may be partially correct. Choose the option that most directly solves the exact problem described, not the one that sounds most complete.

Question 1easymultiple choice

Full question →

A
Send events directly from EventBridge to Lambda without any queue to simplify the flow.
Why wrong: Direct invocation provides less buffering and no dedicated dead-letter handling for persistent failures.
B
Use Amazon SQS as a buffer between the event source and Lambda, with an SQS dead-letter queue (DLQ).
SQS buffers bursts, supports retries via visibility timeouts, and DLQs capture messages that fail repeatedly for later review.
C
Use SNS fan-out to multiple Lambda functions, but keep no retry logic and no DLQ.
Why wrong: SNS fan-out doesn’t provide the same buffering model as SQS, and without a DLQ you lose failed event traceability.
D
Store events in an S3 bucket and trigger Lambda immediately after each upload, without using DLQs.
Why wrong: S3 event notifications can trigger Lambda, but they do not provide DLQ-based isolation and standard queue retries the same way.

Full breakdown with real-world context →

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

✓

Use Amazon SQS as a buffer between the event source and Lambda, with an SQS dead-letter queue (DLQ).

Option B is correct because Amazon SQS acts as a durable buffer between the event source and Lambda, absorbing traffic spikes and decoupling the producer from the consumer. The SQS dead-letter queue (DLQ) automatically captures messages that exceed the configured maximum retries, allowing the team to inspect and reprocess them later without loss. This design provides the required buffering, automatic retries via the Lambda event source mapping, and isolation of repeatedly failing messages.

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.

✗
Send events directly from EventBridge to Lambda without any queue to simplify the flow.
Why it's wrong here
Direct invocation provides less buffering and no dedicated dead-letter handling for persistent failures.
✓
Use Amazon SQS as a buffer between the event source and Lambda, with an SQS dead-letter queue (DLQ).
Why this is correct
SQS buffers bursts, supports retries via visibility timeouts, and DLQs capture messages that fail repeatedly for later review.
Clue confirmation
The clue word "best" in the question point toward this answer.
Related concept
Read the scenario before looking for a memorised answer.
✗
Use SNS fan-out to multiple Lambda functions, but keep no retry logic and no DLQ.
Why it's wrong here
SNS fan-out doesn’t provide the same buffering model as SQS, and without a DLQ you lose failed event traceability.
✗
Store events in an S3 bucket and trigger Lambda immediately after each upload, without using DLQs.
Why it's wrong here
S3 event notifications can trigger Lambda, but they do not provide DLQ-based isolation and standard queue retries the same way.

Common exam traps

Common exam trap: answer the scenario, not the keyword

The trap here is that candidates often assume a direct event-driven flow (like EventBridge to Lambda) is simpler and sufficient, but they overlook the need for buffering and a DLQ to handle throttling and isolate persistent failures, which SQS explicitly provides.

Detailed technical explanation

How to think about this question

Under the hood, SQS uses a visibility timeout to control message retries: when Lambda fails to process a message, it remains in the queue and becomes visible again after the timeout expires. The Lambda event source mapping polls the SQS queue and can be configured with a maximum retry count (e.g., 3), after which messages are automatically moved to the configured DLQ. In real-world scenarios, this pattern is critical for order systems where a database throttle is transient; the DLQ allows operators to analyze and replay failed orders without losing data.

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 media company stores terabytes of video archives that are accessed once a year for audit purposes. Moving these objects to a cold storage tier (Azure Archive, S3 Glacier, or Google Nearline) costs a fraction of hot storage. Questions like this test whether you understand storage tiers, access frequency tradeoffs, and retrieval latency requirements.

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: Use Amazon SQS as a buffer between the event source and Lambda, with an SQS dead-letter queue (DLQ). — Option B is correct because Amazon SQS acts as a durable buffer between the event source and Lambda, absorbing traffic spikes and decoupling the producer from the consumer. The SQS dead-letter queue (DLQ) automatically captures messages that exceed the configured maximum retries, allowing the team to inspect and reprocess them later without loss. This design provides the required buffering, automatic retries via the Lambda event source mapping, and isolation of repeatedly failing messages.

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: "best". Signals that multiple options may be partially correct. Choose the option that most directly solves the exact problem described, not the one that sounds most complete.

What is the key concept behind this question?

Read the scenario before looking for a memorised answer.

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Same concept, more angles

1 more ways this is tested on SAA-C03

These questions test the same concept from different angles. Work through them to make sure you can recognise it however the exam phrases it.

Variation 1. An order system receives events and uses a Lambda function to write each order into a database. During traffic spikes, the database sometimes throttles, and Lambda retries lead to occasional message loss in the event flow. The team wants buffering, automatic retries, and a way to isolate messages that repeatedly fail so they can be inspected later. What design change best meets this need?

easy

A.Send events directly from EventBridge to Lambda without any queue to simplify the flow.
✓ B.Use Amazon SQS as a buffer between the event source and Lambda, with an SQS dead-letter queue (DLQ).
C.Use SNS fan-out to multiple Lambda functions, but keep no retry logic and no DLQ.
D.Store events in an S3 bucket and trigger Lambda immediately after each upload, without using DLQs.

Why B: B is correct because Amazon SQS acts as a durable buffer between the event source and Lambda, absorbing traffic spikes and providing automatic retries via its visibility timeout mechanism. By attaching a dead-letter queue (DLQ) to the SQS queue, messages that repeatedly fail processing can be isolated for later inspection, preventing data loss and enabling debugging.

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This SAA-C03 practice question is part of Courseiva's free Amazon Web Services certification practice question bank. Courseiva provides original exam-style practice questions with explanations, topic-based practice, mock exams, readiness tracking, and study analytics to help learners prepare for the SAA-C03 exam.