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Implementing service monitoring strategieshardMultiple ChoiceObjective-mapped

PCDOE Implementing service monitoring strategies Practice Question

Your company runs a multi-region application on GKE across us-east1 and europe-west1. The application serves a global user base with a strict SLO of 99.95% availability. Recently, the team noticed that during peak hours, some users in South America experience high latency and intermittent errors. The GKE clusters are monitored via Cloud Monitoring with custom dashboards and alerting policies. The team has set up a single alerting policy that triggers when the global error rate exceeds 0.1%. However, the alert fires only after the issue has persisted for 10 minutes, and by then the customer impact is already significant. You need to improve the detection and response time. Which action should you take first?

⚠ Common exam trap

Google Cloud often tests the misconception that reducing the evaluation period and raising the threshold (Option C) is a quick fix, but this ignores the need for regional granularity and can lead to missed detections or increased noise, while the correct approach is to isolate alerts per region.

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 separate alerting policies per region with shorter evaluation periods, and set up a notification channel for the on-call team.

The current single global alerting policy with a 10-minute evaluation period introduces a significant delay in detecting regional issues. By creating separate alerting policies per region with shorter evaluation periods, you can detect and respond to regional anomalies (like high latency in South America) much faster, directly improving the detection time for the multi-region application and reducing customer impact.

Answer analysis

Option-by-option breakdown

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

  • Create separate alerting policies per region with shorter evaluation periods, and set up a notification channel for the on-call team.

    Why this is correct

    Regional alerts detect issues faster and target the affected region.

  • Add a dashboard that shows latency by region and set up a log-based metric for error counting.

    Why it's wrong here

    This improves visibility but does not reduce alerting time as the first step.

  • Reduce the alerting policy's duration to 1 minute and increase the threshold to 0.5% to reduce noise.

    Why it's wrong here

    Increasing threshold may miss the issue; decreasing duration could cause noise.

  • Implement a canary deployment strategy to roll back changes quickly.

    Why it's wrong here

    Canary deployment helps with rollback, not early detection of latency issues.

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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.