- A
Use a CloudWatch Logs Metric Filter on the log group.
A metric filter scans log entries for a pattern and increments a metric each time the pattern appears. The resulting metric can be used to trigger an alarm. This is the correct and straightforward approach.
- B
Use CloudWatch Contributor Insights to extract the metric from logs.
Why wrong: Contributor Insights analyzes high contributors (e.g., top IPs) and generates time series, but it does not create a simple count metric that can be alarmed on like a metric filter. It is meant for different use cases.
- C
Use CloudWatch Synthetics Canary to simulate user sessions and publish metrics.
Why wrong: Synthetics Canaries are used for end-to-end testing of APIs and websites, not for extracting metrics from existing application logs. They would not be appropriate for this requirement.
- D
Use CloudWatch Embedded Metric Format to have the application publish metrics directly.
Why wrong: Embedded Metric Format requires modifying the application code to output structured JSON that CloudWatch automatically turns into metrics. While possible, it is more invasive than using a metric filter on existing logs.
SOA-C02 Monitoring, Logging, and Remediation Practice Question
This SOA-C02 practice question tests your understanding of monitoring, logging, and remediation. 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 SysOps administrator needs to create a custom Amazon CloudWatch metric to track the number of active user sessions from application logs. The administrator wants to publish this metric to CloudWatch and set an alarm when the count exceeds a threshold. Which solution 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
Use a CloudWatch Logs Metric Filter on the log group.
Option A is correct because CloudWatch Logs Metric Filters allow you to define a filter pattern that matches specific log events (e.g., 'User session started') and convert them into a custom metric. The metric is automatically published to CloudWatch, where you can set an alarm on the count of matching log entries. This is the standard, cost-effective approach for extracting metrics from application logs without modifying the application code.
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 a CloudWatch Logs Metric Filter on the log group.
Why this is correct
A metric filter scans log entries for a pattern and increments a metric each time the pattern appears. The resulting metric can be used to trigger an alarm. This is the correct and straightforward approach.
Related concept
Read the scenario before looking for a memorised answer.
- ✗
Use CloudWatch Contributor Insights to extract the metric from logs.
- ✗
Use CloudWatch Synthetics Canary to simulate user sessions and publish metrics.
Why it's wrong here
Synthetics Canaries are used for end-to-end testing of APIs and websites, not for extracting metrics from existing application logs. They would not be appropriate for this requirement.
- ✗
Use CloudWatch Embedded Metric Format to have the application publish metrics directly.
Common exam traps
Common exam trap: answer the scenario, not the keyword
The trap here is that candidates often confuse CloudWatch Contributor Insights (which analyzes log data for top contributors) with a simple metric filter, or they assume Embedded Metric Format is required when the question explicitly states no application code changes are desired.
Trap categories for this question
Command / output trap
Embedded Metric Format requires modifying the application code to output structured JSON that CloudWatch automatically turns into metrics. While possible, it is more invasive than using a metric filter on existing logs.
Detailed technical explanation
How to think about this question
CloudWatch Logs Metric Filters operate by scanning incoming log events in real time against a filter pattern (e.g., using a space-delimited or JSON-based pattern). Each match increments a metric value, which is published to CloudWatch as a custom metric with a resolution of 1 minute by default. The metric filter does not retroactively scan historical logs, so the alarm must be configured after the filter is created to capture new log events. This approach is ideal for operational metrics like session counts, error rates, or request counts derived from unstructured log 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 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.
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FAQ
Questions learners often ask
What does this SOA-C02 question test?
Monitoring, Logging, and Remediation — This question tests Monitoring, Logging, and Remediation — Read the scenario before looking for a memorised answer..
What is the correct answer to this question?
The correct answer is: Use a CloudWatch Logs Metric Filter on the log group. — Option A is correct because CloudWatch Logs Metric Filters allow you to define a filter pattern that matches specific log events (e.g., 'User session started') and convert them into a custom metric. The metric is automatically published to CloudWatch, where you can set an alarm on the count of matching log entries. This is the standard, cost-effective approach for extracting metrics from application logs without modifying the application code.
What should I do if I get this SOA-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.
About these practice questions
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Last reviewed: Jun 11, 2026
This SOA-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 SOA-C02 exam.
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