- A
Increase the SQS visibility timeout to 30 minutes.
Why wrong: Does not prevent loss; only delays retries.
- B
Use DynamoDB on-demand capacity mode.
Why wrong: On-demand handles spikes but does not prevent SQS message loss.
- C
Configure an SQS dead-letter queue for failed messages.
DLQ captures messages that cannot be processed, ensuring no data loss.
- D
Set Lambda reserved concurrency to a low value to control costs.
Why wrong: Reserved concurrency can throttle and cause message loss.
Question 1,735 of 1,746
SAP-C02 Practice Question: Design Solutions for Organizational Complexity
This SAP-C02 practice question tests your understanding of design solutions for organizational complexity. 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 company is designing a serverless event-driven architecture using AWS Lambda, Amazon SQS, and Amazon DynamoDB. The architecture must handle sudden spikes in traffic without losing events. Which configuration ensures the highest reliability?
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 an SQS dead-letter queue for failed messages.
Option C is correct because an SQS dead-letter queue (DLQ) captures messages that cannot be processed successfully after the maximum retries are exhausted, preventing event loss during traffic spikes. This ensures that failed messages are preserved for later analysis or reprocessing, which is critical for reliability in a serverless event-driven architecture.
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 to 30 minutes.
Why it's wrong here
Does not prevent loss; only delays retries.
- ✗
Use DynamoDB on-demand capacity mode.
Why it's wrong here
On-demand handles spikes but does not prevent SQS message loss.
- ✓
Configure an SQS dead-letter queue for failed messages.
Why this is correct
DLQ captures messages that cannot be processed, ensuring no data loss.
Related concept
Read the scenario before looking for a memorised answer.
- ✗
Set Lambda reserved concurrency to a low value to control costs.
Why it's wrong here
Reserved concurrency can throttle and cause message loss.
Common exam traps
Common exam trap: answer the scenario, not the keyword
The trap here is that candidates may confuse scalability features (like DynamoDB on-demand or Lambda concurrency) with reliability mechanisms for message processing, overlooking that a dead-letter queue is the specific AWS-recommended pattern to prevent event loss in SQS-based architectures.
Detailed technical explanation
How to think about this question
Under the hood, SQS integrates with Lambda via event source mappings that poll the queue and invoke the function synchronously; if the function fails, the message remains in the queue until the visibility timeout expires, and after the maximum retries (default 3), the message can be moved to a DLQ. The DLQ acts as a safety net, storing messages that exceed the redrive policy, and can be configured with a separate SQS queue for isolation, ensuring zero data loss even under extreme load. In real-world scenarios, this pattern is essential for order processing systems where a failed payment event must be captured for manual intervention rather than silently dropped.
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.
Quick reference
Cloud Service Model Comparison
| Model | You Manage | Provider Manages | Examples |
|---|---|---|---|
| IaaS | OS, runtime, apps, data | Hardware, hypervisor, networking | EC2, Azure VMs, GCP Compute Engine |
| PaaS | Apps and data | OS, runtime, middleware, hardware | Elastic Beanstalk, Azure App Service |
| SaaS | Data and settings only | Everything else | Microsoft 365, Salesforce, Workday |
| FaaS / Serverless | Function code only | Infra, scaling, runtime | Lambda, Azure Functions, Cloud Run |
| CaaS | Containers and apps | Kubernetes, OS, hardware | EKS, AKS, GKE |
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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Design Solutions for Organizational Complexity — study guide chapter
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FAQ
Questions learners often ask
What does this SAP-C02 question test?
Design Solutions for Organizational Complexity — This question tests Design Solutions for Organizational Complexity — Read the scenario before looking for a memorised answer..
What is the correct answer to this question?
The correct answer is: Configure an SQS dead-letter queue for failed messages. — Option C is correct because an SQS dead-letter queue (DLQ) captures messages that cannot be processed successfully after the maximum retries are exhausted, preventing event loss during traffic spikes. This ensures that failed messages are preserved for later analysis or reprocessing, which is critical for reliability in a serverless event-driven architecture.
What should I do if I get this SAP-C02 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: Jul 4, 2026
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