Exam Professional Cloud DevOps Engineer topic 1 question 98 discussion

Actual exam question from Google's Professional Cloud DevOps Engineer

Question #: 98
Topic #: 1

[All Professional Cloud DevOps Engineer Questions]

Your company runs services by using multiple globally distributed Google Kubernetes Engine (GKE) clusters. Your operations team has set up workload monitoring that uses Prometheus-based tooling for metrics, alerts, and generating dashboards. This setup does not provide a method to view metrics globally across all clusters. You need to implement a scalable solution to support global Prometheus querying and minimize management overhead. What should you do?

A. Configure Prometheus cross-service federation for centralized data access.
B. Configure workload metrics within Cloud Operations for GKE.
C. Configure Prometheus hierarchical federation for centralized data access.
D. Configure Google Cloud Managed Service for Prometheus.

Show Suggested Answer

Suggested Answer: D 🗳️

by PrayasMohanty at Oct. 4, 2023, 2:35 p.m.

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Skadian

Highly Voted 9 months, 3 weeks ago

D options is looking more sutaible. https://cloud.google.com/stackdriver/docs/managed-prometheus

upvoted 7 times

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xhilmi

Most Recent 8 months ago

Selected Answer: D

The most effective solution for achieving scalable global Prometheus querying while minimizing management complexity is Option D, "Configure Google Cloud Managed Service for Prometheus." This approach involves leveraging the fully managed service offered by Google Cloud for Prometheus, which streamlines the collection, querying, and alerting on metrics. With this service, you can effortlessly centralize metrics from various globally distributed GKE clusters, eliminating the need for intricate configurations or federation mechanisms. By opting for the Google Cloud Managed Service for Prometheus, you simplify operational tasks, reduce administrative overhead, and gain a unified and straightforward method for monitoring and analyzing metrics on a global scale across all clusters within the Google Cloud environment.

upvoted 1 times

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koo_kai

9 months, 1 week ago

Selected Answer: D

https://cloud.google.com/stackdriver/docs/managed-prometheus

upvoted 2 times

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activist

9 months, 2 weeks ago

Answer D is the best.

upvoted 1 times

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PrayasMohanty

10 months ago

Appear D is right

upvoted 4 times

Trueeye

10 months ago

@PrayasMohanty : Could you please review the questions set all the way to the end

upvoted 1 times

PrayasMohanty

9 months, 4 weeks ago

Google Cloud Managed Service for Prometheus is Google Cloud's fully managed, multi-cloud, cross-project solution for Prometheus metrics. It lets you globally monitor and alert on your workloads, using Prometheus, without having to manually manage and operate Prometheus at scale. Managed Service for Prometheus collects metrics from Prometheus exporters and lets you query the data globally using PromQL, meaning that you can keep using any existing Grafana dashboards, PromQL-based alerts, and workflows. It is hybrid- and multi-cloud compatible, can monitor both Kubernetes and VM workloads, retains data for 24 months, and maintains portability by staying compatible with upstream Prometheus. Reference: https://cloud.google.com/stackdriver/docs/managed-prometheus

upvoted 2 times

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