DOP-C02 Incident and Event Response Practice Question
This DOP-C02 practice question tests your understanding of incident and event response. The scenario asks you to isolate a root cause — eliminate options that address a different problem before choosing. 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 uses an Auto Scaling group with a dynamic scaling policy based on a custom CloudWatch metric. After a recent deployment, the metric spikes unexpectedly, causing the Auto Scaling group to launch several EC2 instances. The operations team wants to quickly determine whether the spike was caused by a real load increase or a deployment issue. What is the MOST efficient way to investigate this?
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 or deployment markers that coincide with the metric spike.
Option B is correct because CloudWatch Logs Insights allows you to query application logs for error patterns or deployment markers (e.g., new version tags, exception stack traces) that coincide with the metric spike. This directly correlates the scaling event with application-level evidence, enabling rapid root-cause analysis without altering infrastructure or relying on indirect notifications.
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.
✗
Check the SNS topic that the scaling policy publishes to for notifications.
Why it's wrong here
SNS notifications only indicate that scaling occurred, not why.
✓
Use CloudWatch Logs Insights to query application logs for error patterns or deployment markers that coincide with the metric spike.
Why this is correct
CloudWatch Logs Insights allows querying logs to find patterns related to the spike.
Related concept
Read the scenario before looking for a memorised answer.
✗
Use AWS CloudTrail to review API calls that modified the scaling policy.
Why it's wrong here
CloudTrail logs API calls but does not show application-level metrics or deployment issues.
✗
Temporarily disable the scaling policy and manually increase the desired capacity to handle the load.
Why it's wrong here
This is a reactive fix that does not help determine the root cause of the spike.
Common exam traps
Common exam trap: answer the scenario, not the keyword
The trap here is that candidates confuse monitoring scaling actions (SNS/CloudTrail) with diagnosing the metric's root cause, overlooking that application logs provide the direct evidence needed to distinguish real load from deployment issues.
Trap categories for this question
Command / output trap
CloudTrail logs API calls but does not show application-level metrics or deployment issues.
Detailed technical explanation
How to think about this question
CloudWatch Logs Insights uses a query language (e.g., `fields @timestamp, @message | filter @message like /ERROR/ | sort @timestamp desc`) to scan log groups across instances. By correlating the metric spike timestamp with deployment markers (e.g., a log entry like 'Deployment v2.1 completed'), you can determine if the spike was caused by a code defect (e.g., infinite loop generating excessive requests) versus legitimate traffic. This approach avoids the overhead of sifting through individual instance logs or relying on aggregated metrics alone.
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 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 exam domain this question belongs to, review the core concept, then practise similar questions from the same domain.
Incident and Event Response — This question tests Incident and Event Response — 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 or deployment markers that coincide with the metric spike. — Option B is correct because CloudWatch Logs Insights allows you to query application logs for error patterns or deployment markers (e.g., new version tags, exception stack traces) that coincide with the metric spike. This directly correlates the scaling event with application-level evidence, enabling rapid root-cause analysis without altering infrastructure or relying on indirect notifications.
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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Question Discussion
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