The answer is to use CloudWatch Logs Insights to query application logs for error patterns around the time of memory spikes. This is correct because CloudWatch Logs Insights provides a purpose-built query language that allows you to filter and analyze log data directly within CloudWatch Logs, enabling you to correlate memory metrics with application logs by narrowing the search window to the exact timestamps of the unpredictable spikes. On the AWS Certified DevOps Engineer Professional DOP-C02 exam, this scenario tests your understanding of operational troubleshooting without adding complexity—common traps include suggesting third-party tools or exporting logs to another service like Amazon Athena, which adds unnecessary latency. The key is remembering that CloudWatch Logs Insights is the native, serverless solution for correlating memory metrics with application logs, as it keeps all data within the CloudWatch ecosystem. Memory tip: think “Logs Insights = Logs + Metrics in one pane of glass” to avoid overcomplicating root cause analysis.
DOP-C02 Monitoring and Logging Practice Question
This DOP-C02 practice question tests your understanding of monitoring and logging. This is a configuration task: choose the command set that satisfies every stated requirement. Small differences — like 'secret' vs 'password' or 'transport input ssh' vs 'all' — change whether the answer is correct. 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 fleet of EC2 instances behind an Auto Scaling group. The DevOps team wants to detect and respond to memory leaks in their application. They have configured CloudWatch agent to collect memory metrics. However, the metric shows unpredictable spikes. The team needs to correlate these spikes with application logs to identify the root cause. Which solution provides the BEST correlation?
Clue words in this question
Noticing these words before you look at the options changes how you read each choice.
Clue: "best"
Why it matters: Signals that multiple options may be partially correct. Choose the option that most directly solves the exact problem described, not the one that sounds most complete.
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
✓
Use CloudWatch Logs Insights to query application logs for error patterns around the time of memory spikes
Option C is correct because CloudWatch Logs Insights allows you to query application logs directly in CloudWatch Logs using a purpose-built query language. By filtering logs around the timestamps of memory spikes, you can correlate specific error patterns or log entries with the metric data, enabling root cause analysis without moving data or adding complexity.
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.
✗
Export the memory metric and application logs to Amazon S3 and use Amazon Athena to join them
Why it's wrong here
Exporting adds delay; real-time correlation is needed.
✗
Enable AWS X-Ray on the application to trace requests and identify memory-heavy requests
Why it's wrong here
X-Ray traces requests but does not correlate with memory metrics automatically.
✓
Use CloudWatch Logs Insights to query application logs for error patterns around the time of memory spikes
Why this is correct
Logs Insights allows time-based correlation between metrics and logs.
Clue confirmation
The clue word "best" in the question point toward this answer.
Related concept
Read the scenario before looking for a memorised answer.
✗
Use Amazon EventBridge to capture EC2 instance state changes and correlate with memory spikes
Why it's wrong here
EventBridge captures infrastructure events, not application logs.
Common exam traps
Common exam trap: answer the scenario, not the keyword
The trap here is that candidates often confuse AWS X-Ray's request tracing with OS-level metric correlation, or assume that exporting to S3 and using Athena is a universal solution, when in fact CloudWatch Logs Insights provides the most direct and efficient correlation within the same monitoring ecosystem.
Detailed technical explanation
How to think about this question
CloudWatch Logs Insights uses a query language similar to SQL, with commands like `filter`, `stats`, and `sort` to analyze log events. Under the hood, it indexes log data by timestamp and field, enabling millisecond-level correlation with CloudWatch metric timestamps. In a real-world scenario, you might query for `ERROR` or `OutOfMemoryError` patterns within a 5-minute window around each spike, using `fields @timestamp, @message | filter @timestamp between <start> and <end>` to pinpoint the exact log lines.
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: Use CloudWatch Logs Insights to query application logs for error patterns around the time of memory spikes — Option C is correct because CloudWatch Logs Insights allows you to query application logs directly in CloudWatch Logs using a purpose-built query language. By filtering logs around the timestamps of memory spikes, you can correlate specific error patterns or log entries with the metric data, enabling root cause analysis without moving data or adding complexity.
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.
Are there clue words in this question I should notice?
Yes — watch for: "best". Signals that multiple options may be partially correct. Choose the option that most directly solves the exact problem described, not the one that sounds most complete.
What is the key concept behind this question?
Read the scenario before looking for a memorised answer.
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Question Discussion
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