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GCP Associate Cloud Engineer Practice Question

Your team is migrating workloads to a GKE Autopilot cluster. In one Pod manifest you set a container's resource requests to 50m CPU and 256 MiB memory. After deployment, kubectl describe pod shows the Pod running with a 250m CPU request while the memory request remains 256 MiB. What explains this unexpected increase in the CPU request value?

  • Autopilot converts undersized CPU requests into additional memory, so the CPU request increases to preserve the required CPU-to-memory ratio.

  • Autopilot disregards all user-defined CPU requests and assigns values dynamically based on observed runtime usage.

  • Autopilot keeps the original resource requests but scales the underlying nodes, so the higher value you see is the node's allocatable CPU, not the Pod request.

  • Autopilot enforces a platform minimum of 0.25 vCPU per container and automatically rounds up any smaller CPU request to 250 mCPU, leaving valid memory requests unchanged.

GCP Associate Cloud Engineer
Ensuring successful operation of a cloud solution
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