The answer is to set up CloudWatch Alarms on Lambda error count and API Gateway 5XX count, combined with enabling AWS X-Ray for end-to-end tracing. This pairing works because CloudWatch Alarms provide real-time operational alerts on specific error metrics, while X-Ray offers distributed tracing that visualizes requests as they travel through API Gateway, Lambda, and DynamoDB, pinpointing latency bottlenecks and error sources across the entire serverless application. On the AWS Certified DevOps Engineer Professional DOP-C02 exam, this question tests your understanding that comprehensive monitoring requires both metric-based alarms for immediate notification and trace-based analysis for root-cause diagnosis—a common trap is choosing only one approach. Remember that CloudWatch catches the “what” (error counts), while X-Ray reveals the “why” (where latency or failures occur). Memory tip: “Alarms for the numbers, X-Ray for the journey.”
DOP-C02 Monitoring and Logging Practice Question
This DOP-C02 practice question tests your understanding of monitoring and logging. Match the stated requirement to the specific cloud service, access model, or configuration option — many options are valid in isolation but not for this scenario. 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 DevOps engineer is designing a monitoring solution for a serverless application using AWS Lambda, Amazon API Gateway, and Amazon DynamoDB. The team needs to monitor for errors and latency. Which TWO actions should the engineer take to implement comprehensive monitoring? (Choose TWO.)
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
✓
Enable AWS X-Ray tracing on API Gateway and Lambda.
Option D is correct because AWS X-Ray provides end-to-end tracing for requests as they travel through API Gateway, Lambda, and DynamoDB, enabling the team to identify latency bottlenecks and errors across the entire serverless application. This is essential for comprehensive monitoring of distributed applications, as it captures detailed timing and error data for each component.
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.
✗
Enable DynamoDB Accelerator (DAX) to reduce latency.
Why it's wrong here
Incorrect: DAX is a caching layer, not monitoring.
✗
Enable detailed billing metrics for cost analysis.
Why it's wrong here
Incorrect: This is for cost, not error/latency monitoring.
✗
Configure CloudWatch Logs for DynamoDB.
Why it's wrong here
Incorrect: DynamoDB does not send logs to CloudWatch Logs.
✓
Enable AWS X-Ray tracing on API Gateway and Lambda.
Why this is correct
Correct: X-Ray provides end-to-end tracing to identify latency and errors.
Related concept
Read the scenario before looking for a memorised answer.
✓
Set up CloudWatch Alarms on Lambda error count and API Gateway 5XX count.
Why this is correct
Correct: These metrics are published to CloudWatch and can trigger alarms.
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 performance optimization tools (like DAX) or cost monitoring (like billing metrics) with actual monitoring solutions, or assume that DynamoDB has native CloudWatch Logs support, when in fact it only emits metrics and requires X-Ray or CloudTrail for detailed request tracing.
Detailed technical explanation
How to think about this question
AWS X-Ray works by instrumenting the Lambda runtime and API Gateway to send trace segments to the X-Ray service, which then constructs a service map showing the flow of requests and identifying where latency spikes or errors occur. For example, if a Lambda function has a cold start delay, X-Ray will show the initialization time as a separate segment, allowing engineers to pinpoint the exact cause of increased latency. This is particularly useful in serverless applications where multiple services interact, as it provides a single pane of glass for troubleshooting.
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.
Monitoring and Logging — This question tests Monitoring and Logging — Read the scenario before looking for a memorised answer..
What is the correct answer to this question?
The correct answer is: Enable AWS X-Ray tracing on API Gateway and Lambda. — Option D is correct because AWS X-Ray provides end-to-end tracing for requests as they travel through API Gateway, Lambda, and DynamoDB, enabling the team to identify latency bottlenecks and errors across the entire serverless application. This is essential for comprehensive monitoring of distributed applications, as it captures detailed timing and error data for each component.
What should I do if I get this DOP-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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This DOP-C02 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 DOP-C02 exam.
Question Discussion
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