- A
Use CloudWatch Logs Insights to query container logs
Why wrong: Logs Insights cannot correlate CPU metrics with traces.
- B
Enable Container Insights and ServiceLens to correlate metrics and traces
Container Insights provides CPU metrics; ServiceLens integrates X-Ray traces.
- C
Configure CloudWatch Synthetics canaries to measure latency
Why wrong: Synthetics measures external endpoints, not internal container CPU.
- D
Set up a Prometheus server on an EC2 instance to scrape container metrics
Why wrong: This adds complexity; not a native AWS solution.
Question 10 of 1,750
How to Correlate CPU Usage with Request Latency in Amazon ECS Fargate
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.
An e-commerce application runs on Amazon ECS with Fargate. The operations team notices that the application's latency increases during peak hours. The engineer needs to correlate high CPU usage with increased request latency to identify the root cause. Which approach should be used?
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
✓
Enable Container Insights and ServiceLens to correlate metrics and traces
Container Insights for Amazon ECS with Fargate collects CPU, memory, and other metrics, while ServiceLens integrates CloudWatch metrics with AWS X-Ray traces to provide end-to-end visibility. This correlation allows the engineer to identify high CPU usage and its impact on request latency. Option A is incorrect because CloudWatch Logs Insights only analyzes log data, not metrics or traces. Option C is incorrect because CloudWatch Synthetics canaries monitor endpoint availability and performance from outside, but do not provide internal CPU metrics. Option D is incorrect because setting up a Prometheus server on an EC2 instance adds operational overhead and does not integrate with ECS Fargate natively; Container Insights and ServiceLens are the recommended AWS-native solution.
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.
- ✗
Use CloudWatch Logs Insights to query container logs
Why it's wrong here
Logs Insights cannot correlate CPU metrics with traces.
- ✓
Enable Container Insights and ServiceLens to correlate metrics and traces
Why this is correct
Container Insights provides CPU metrics; ServiceLens integrates X-Ray traces.
Related concept
Read the scenario before looking for a memorised answer.
- ✗
Configure CloudWatch Synthetics canaries to measure latency
Why it's wrong here
Synthetics measures external endpoints, not internal container CPU.
- ✗
Set up a Prometheus server on an EC2 instance to scrape container metrics
Why it's wrong here
This adds complexity; not a native AWS solution.
Common exam traps
Common exam trap: answer the scenario, not the keyword
Many certification questions include familiar terms but test a specific constraint. Read the exact wording before choosing an answer that is generally true but wrong for this case.
Detailed technical explanation
How to think about this question
This question should be treated as a scenario, not a definition check. Identify the problem, the constraint and the best action. Then compare each option against those facts.
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.
- Use explanations to understand the rule behind the answer.
TExam Day Tips
- Underline the problem statement mentally.
- 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
An e-commerce site experiences heavy traffic on Black Friday and near-zero traffic during off-peak weeks. Rather than provisioning permanent large VMs, the team uses auto-scaling groups that add capacity automatically under load and reduce it overnight. Questions like this test whether you understand elasticity, availability zones, and cloud compute scaling patterns.
What to study next
Got this wrong? Here's your next step.
Identify which DOP-C02 exam domain this question belongs to, then review the specific concept being tested. Practise related questions in that domain and focus on understanding why each wrong answer is tempting — not just why the correct answer is right.
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Monitoring and Logging — study guide chapter
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Monitoring and Logging practice questions
Targeted practice on this topic area only
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FAQ
Questions learners often ask
What does this DOP-C02 question test?
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 Container Insights and ServiceLens to correlate metrics and traces — Container Insights for Amazon ECS with Fargate collects CPU, memory, and other metrics, while ServiceLens integrates CloudWatch metrics with AWS X-Ray traces to provide end-to-end visibility. This correlation allows the engineer to identify high CPU usage and its impact on request latency. Option A is incorrect because CloudWatch Logs Insights only analyzes log data, not metrics or traces. Option C is incorrect because CloudWatch Synthetics canaries monitor endpoint availability and performance from outside, but do not provide internal CPU metrics. Option D is incorrect because setting up a Prometheus server on an EC2 instance adds operational overhead and does not integrate with ECS Fargate natively; Container Insights and ServiceLens are the recommended AWS-native solution.
What should I do if I get this DOP-C02 question wrong?
Identify which DOP-C02 exam domain this question belongs to, then review the specific concept being tested. Practise related questions in that domain and focus on understanding why each wrong answer is tempting — not just why the correct answer is right.
What is the key concept behind this question?
Read the scenario before looking for a memorised answer.
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Last reviewed: Jun 20, 2026
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