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You manage applications deployed on Google Kubernetes Engine (GKE) clusters across multiple Google Cloud projects.

You manage applications deployed on Google Kubernetes Engine (GKE) clusters across multiple Google Cloud projects. You require a centralized and scalable solution to collect and query Prometheus metrics from these clusters by using a flexible query language. You want to follow Google-recommended practices. What should you do?

A.

Deploy a Prometheus server as a sidecar to your applications on each cluster, and run queries in Cloud Monitoring.

B.

Configure Google Cloud Managed Service for Prometheus with managed collection, and run queries in Metrics Explorer.

C.

Configure the Ops Agent to collect metrics, and run queries in Metrics Explorer.

D.

Install Prometheus server on an admin cluster with cluster autoscaler enabled, and expose the Prometheus endpoint for queries.

Google Professional-Cloud-DevOps-Engineer Summary

  • Vendor: Google
  • Product: Professional-Cloud-DevOps-Engineer
  • Update on: Feb 8, 2026
  • Questions: 201
Price: $52.5  $149.99
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