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Answer: Configure Google Cloud Managed Service for Prometheus.
The requirement is for a scalable global Prometheus querying solution with minimal management overhead across multiple GKE clusters. Option D (Google Cloud Managed Service for Prometheus) is the optimal choice because it is a fully managed service that automatically scales, collects Prometheus metrics globally, and centralizes data without manual configuration. It integrates natively with GKE, supports existing Prometheus tooling, and eliminates the operational burden of self-managed federation (Options A and C). Option B (Cloud Operations for GKE) provides monitoring but does not directly leverage existing Prometheus-based setups or offer the same seamless scalability for global querying. Thus, D minimizes overhead while meeting all requirements.
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Your company operates services across multiple globally distributed Google Kubernetes Engine (GKE) clusters. The operations team has configured workload monitoring using Prometheus-based tooling for metrics, alerts, and dashboards, but this setup lacks a way to view metrics globally across all clusters. You need to implement a scalable solution to enable global Prometheus querying while minimizing 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.
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