PCDOE Implementing service monitoring strategies Practice Question
A company uses Cloud Monitoring to track latency for a multi-region web application. The SLO is 99.9% of requests under 500ms over a 30-day rolling window. The error budget has been rapidly depleting over the last week. The operations team wants to understand the impact of recent deployments. Which approach should they use to correlate deployment changes with latency spikes?
⚠ Common exam trap
Google Cloud often tests the distinction between monitoring tools (Cloud Monitoring for dashboards and annotations) versus debugging tools (Cloud Trace for per-request analysis) or logging tools (Cloud Logging for raw logs), leading candidates to choose a tool that addresses part of the problem but not the correlation requirement.
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
✓
Create a custom dashboard in Cloud Monitoring that includes latency charts and use annotation markers to indicate deployment times
Cloud Monitoring supports custom dashboards with annotation markers that can be programmatically or manually added to indicate deployment events. By overlaying these markers on latency charts, the operations team can visually correlate deployment times with latency spikes, enabling direct root-cause analysis without manual log searching or separate tools.
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 Cloud Logging to search for deployment logs and manually compare with latency metrics
Why it's wrong here
Manual comparison is time-consuming and error-prone; a dashboard provides a unified view.
- ✗
Use Cloud Trace to analyze latency distributions for each deployment version
Why it's wrong here
Cloud Trace is for distributed tracing, not for correlating deployments with latency trends over time.
- ✓
Create a custom dashboard in Cloud Monitoring that includes latency charts and use annotation markers to indicate deployment times
Why this is correct
Annotation markers allow you to overlay deployment events on time-series charts, making it easy to correlate changes with latency spikes.
- ✗
Configure Error Reporting to alert on latency threshold breaches
Why it's wrong here
Error Reporting handles application errors, not latency metrics.
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JA
Written by Johnson Ajibi, MSc IT Security
Senior Network & Security Engineer · founder of Courseiva
This PCDOE practice question is part of Courseiva's free Google Cloud 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 PCDOE exam.