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Question 6 - Professional Cloud DevOps Engineer discussion

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

Explanation:

The best option for implementing a scalable solution to support global Prometheus querying and minimize management overhead is to use Google Cloud Managed Service for Prometheus. Google Cloud Managed Service for Prometheus is a fully managed service that allows you to collect, query, and visualize metrics from your GKE clusters using Prometheus-based tooling. You can use Google Cloud Managed Service for Prometheus to query metrics across multiple clusters and regions using a global view. You can also use Google Cloud Managed Service for Prometheus to integrate with other Google Cloud services, such as Cloud Monitoring, Cloud Logging, and BigQuery. By using Google Cloud Managed Service for Prometheus, you can avoid managing and scaling your own Prometheus servers and focus on your application performance.

asked 18/09/2024
Gofaone Ncube
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