- A
Install the CloudWatch Agent in the container image and configure it to collect custom metrics
Why wrong: Installing the CloudWatch Agent in the container image is not suitable for Fargate because the agent typically runs on EC2 or on-premises and would require managing it as part of the container, violating the requirement to avoid managing agents.
- B
Use the CloudWatch Embedded Metric Format to emit metrics from the application code as structured logs
The CloudWatch Embedded Metric Format allows emitting metrics as structured logs, which are automatically extracted into CloudWatch metrics. Fargate tasks send logs to CloudWatch Logs without an agent, meeting the requirement.
- C
Enable AWS CloudTrail for the ECS service to capture API calls and derive metrics
Why wrong: AWS CloudTrail captures API calls made to AWS services, not custom application metrics like request latency or error counts. Therefore, it does not meet the requirement.
- D
Run a StatsD daemon in a sidecar container and configure it to forward metrics to CloudWatch
Why wrong: Running a StatsD daemon in a sidecar container requires managing an additional container and agent, which contradicts the requirement to avoid managing any servers or agents.
How to Collect Custom Metrics from ECS Fargate Using CloudWatch Embedded Metric Format
This DOP-C02 practice question tests your understanding of monitoring and logging. Read the scenario carefully and evaluate each option against the stated constraints before committing to an answer. 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 runs a containerized microservices application on Amazon ECS with Fargate. The operations team wants to collect custom application metrics (e.g., request latency, error counts) and send them to CloudWatch. The team wants to avoid managing any servers or agents. Which solution meets these requirements?
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 the CloudWatch Embedded Metric Format to emit metrics from the application code as structured logs
Option B is correct because the CloudWatch Embedded Metric Format (EMF) allows applications to output structured JSON logs that CloudWatch automatically converts to metrics, and Fargate tasks can output logs to CloudWatch Logs without an agent. Option A is wrong because the CloudWatch Agent requires running on EC2 or on-premises, not Fargate. Option C is wrong because CloudTrail records API calls, not custom application metrics. Option D is wrong because while StatsD can collect custom metrics, running it in a sidecar container on Fargate would still require managing a container, and the requirement is to avoid managing any servers or agents.
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.
- ✗
Install the CloudWatch Agent in the container image and configure it to collect custom metrics
Why it's wrong here
Installing the CloudWatch Agent in the container image is not suitable for Fargate because the agent typically runs on EC2 or on-premises and would require managing it as part of the container, violating the requirement to avoid managing agents.
- ✓
Use the CloudWatch Embedded Metric Format to emit metrics from the application code as structured logs
Why this is correct
The CloudWatch Embedded Metric Format allows emitting metrics as structured logs, which are automatically extracted into CloudWatch metrics. Fargate tasks send logs to CloudWatch Logs without an agent, meeting the requirement.
Related concept
Read the scenario before looking for a memorised answer.
- ✗
Enable AWS CloudTrail for the ECS service to capture API calls and derive metrics
Why it's wrong here
AWS CloudTrail captures API calls made to AWS services, not custom application metrics like request latency or error counts. Therefore, it does not meet the requirement.
- ✗
Run a StatsD daemon in a sidecar container and configure it to forward metrics to CloudWatch
Why it's wrong here
Running a StatsD daemon in a sidecar container requires managing an additional container and agent, which contradicts the requirement to avoid managing any servers or agents.
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
A cloud solutions architect for a retail company is evaluating services for a new workload. The correct answer here reflects best practice for the specific scenario described — not a general cloud recommendation. Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option. Cloud exam questions reward reading the constraint carefully: the same technology can be right or wrong depending on the use case.
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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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: Use the CloudWatch Embedded Metric Format to emit metrics from the application code as structured logs — Option B is correct because the CloudWatch Embedded Metric Format (EMF) allows applications to output structured JSON logs that CloudWatch automatically converts to metrics, and Fargate tasks can output logs to CloudWatch Logs without an agent. Option A is wrong because the CloudWatch Agent requires running on EC2 or on-premises, not Fargate. Option C is wrong because CloudTrail records API calls, not custom application metrics. Option D is wrong because while StatsD can collect custom metrics, running it in a sidecar container on Fargate would still require managing a container, and the requirement is to avoid managing any servers or agents.
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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