The answer is to configure a CloudWatch Logs metric filter to parse the JSON-structured logs for specific error codes and set a CloudWatch alarm on that metric to trigger near-real-time alerts via SNS, alongside a CloudWatch Logs retention policy set to 5 years. This is correct because metric filters allow you to extract pattern counts from log events as they stream in, creating a custom metric that an alarm can evaluate instantly, while the retention policy ensures compliance without additional infrastructure. On the AWS Certified DevOps Engineer Professional DOP-C02 exam, this tests your understanding of native, low-latency monitoring for ECS Fargate logs versus third-party solutions; a common trap is assuming you need a Lambda or Kinesis pipeline for parsing structured logs, but CloudWatch Logs metric filters handle JSON natively. Remember the mnemonic “Filter, Alarm, Retain” to recall the three-step native workflow for error monitoring and compliance.
DOP-C02 Monitoring and Logging Practice Question
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 critical application on Amazon ECS with Fargate. The application emits structured logs in JSON format. The DevOps team wants to monitor for specific error codes and receive near-real-time alerts. The team also needs to retain logs for 5 years for compliance. Which TWO steps should the team implement?
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
✓
Create a CloudWatch Logs metric filter to count occurrences of specific error codes and create an alarm
Option A is correct because CloudWatch Logs metric filters can parse JSON-structured logs to count occurrences of specific error codes, and you can create a CloudWatch alarm on that metric to trigger near-real-time notifications via SNS. This is a native, low-latency solution for monitoring specific patterns in ECS Fargate logs without additional infrastructure.
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.
✓
Create a CloudWatch Logs metric filter to count occurrences of specific error codes and create an alarm
Why this is correct
Metric filters allow real-time monitoring and alerting.
Related concept
Read the scenario before looking for a memorised answer.
✗
Use Amazon Kinesis Data Analytics to analyze logs in real-time and send alerts
Why it's wrong here
Adds unnecessary complexity and cost.
✗
Enable AWS CloudTrail to log the application's API calls
Why it's wrong here
CloudTrail is for AWS API calls, not application logs.
✗
Stream logs to Amazon S3 via Amazon Kinesis Data Firehose and use S3 event notifications to trigger alerts
Why it's wrong here
Streaming to S3 adds latency for near-real-time alerts.
✓
Configure a CloudWatch Logs retention policy to keep logs for 5 years
Why this is correct
Retention policy ensures logs are retained for compliance.
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 often confuse CloudTrail (which logs AWS API calls) with application-level logging, or they over-engineer the solution with Kinesis Data Analytics or Firehose when CloudWatch native features (metric filters and retention policies) are sufficient and more cost-effective for this use case.
Detailed technical explanation
How to think about this question
CloudWatch Logs metric filters operate by scanning incoming log events in real time as they are ingested, using pattern matching (e.g., { $.errorCode = "500" }) against JSON-formatted logs. The alarm can be set to evaluate over a period as short as 1 minute, enabling near-real-time response. For 5-year retention, CloudWatch Logs supports setting a retention policy up to 10 years (or indefinitely), which is simpler and more cost-effective than exporting to S3 for compliance, though S3 can be used for archival if needed.
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 media company stores terabytes of video archives that are accessed once a year for audit purposes. Moving these objects to a cold storage tier (Azure Archive, S3 Glacier, or Google Nearline) costs a fraction of hot storage. Questions like this test whether you understand storage tiers, access frequency tradeoffs, and retrieval latency requirements.
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: Create a CloudWatch Logs metric filter to count occurrences of specific error codes and create an alarm — Option A is correct because CloudWatch Logs metric filters can parse JSON-structured logs to count occurrences of specific error codes, and you can create a CloudWatch alarm on that metric to trigger near-real-time notifications via SNS. This is a native, low-latency solution for monitoring specific patterns in ECS Fargate logs without additional infrastructure.
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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