PCDOE Implementing service monitoring strategies Practice Question

An application running on App Engine is throwing exceptions. The DevOps team wants to be notified when a new type of exception appears. Which Cloud Monitoring feature should they use?

⚠ Common exam trap

Google Cloud often tests the distinction between features that passively log data (Logs-based metrics) versus features that actively analyze and classify errors (Error Reporting), leading candidates to choose Logs-based metrics because they think 'any exception can be captured in logs.'

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

✓

Error Reporting

Error Reporting is the correct choice because it is a Cloud Monitoring feature specifically designed to count, analyze, and increase the severity of exceptions in application logs. It automatically groups exceptions by type and can trigger notifications when a new type of exception (one not seen before) appears, which directly meets the DevOps team's requirement.

Answer analysis

Option-by-option breakdown

For each option: why learners choose it and why it is or isn't the right answer here.

✓
Error Reporting
Why this is correct
Error Reporting analyzes error logs, groups similar exceptions, and can send notifications for new error groups.
✗
Uptime Checks
Why it's wrong here
Uptime Checks monitor availability, not application exceptions.
✗
Custom alerts
Why it's wrong here
Custom alerts require a metric; they do not by themselves detect new exception types.
✗
Logs-based metrics
Why it's wrong here
While you could create a metric for exceptions, it would not automatically detect new types.

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PCDOE Implementing service monitoring strategies Practice Question

Why each option matters

Option-by-option breakdown

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