PCDOE Implementing service monitoring strategies Practice Question
Your company runs a stateless web application on Google Kubernetes Engine (GKE). You have configured Cloud Monitoring to track request latency and set up an alert when p95 latency exceeds 500ms for 5 minutes. Recently, the alert has been firing frequently during peak hours. You examine the metrics and see that p95 latency spikes to 600ms for short periods. The application's SLO is 99.9% availability with a latency threshold of 1 second. What should you do to reduce alert noise without compromising the SLO?
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
✓
Implement a multi-window burn-rate alerting approach.
The best approach is to implement a multi-window burn-rate alerting strategy, which is less sensitive to short spikes and directly tracks error budget consumption, aligning with the SLO.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Disable the alert during peak hours.
Why it's wrong here
Disabling alerts is not a best practice and risks missing real issues.
- ✓
Implement a multi-window burn-rate alerting approach.
Why this is correct
Burn-rate alerts use multiple windows to detect fast consumption while filtering out brief spikes.
- ✗
Increase the alert threshold to 1 second to match the SLO.
Why it's wrong here
While this reduces noise, it may delay detection of actual SLO violations.
- ✗
Change the alert to use a longer evaluation window, e.g., 30 minutes.
Why it's wrong here
A longer window may miss rapid budget consumption.
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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.