A specialized genomics enterprise is provisioning core infrastructure in Google Cloud to run large-scale DNA sequencing batch operations alongside a containerized administrative management plane. The target architecture specifies a private Google Kubernetes Engine (GKE) cluster for control services and a Compute Engine Managed Instance Group (MIG) configured with Spot VMs to handle high-volume compute tasks. During automated deployment, the pipeline fails to provision the intended 500 N2 Spot VMs in us-central1 due to immediate quota constraints. Simultaneously, security auditors notice that internal bioinformaticians cannot connect to the private GKE cluster control plane via `kubectl` from their corporate VPN subnet. Which combination of provisioning and security modifications correctly resolves both the compute deployment failure and the administrative connectivity issue?
- Submit a regional quota increase request for Spot N2 CPU cores in us-central1 prior to deployment, and add the corporate VPN egress CIDR range to the GKE Control Plane Authorized Networks configuration.Answer
- BMigrate the entire batch workload onto the private GKE cluster using an Autopilot node pool, assuming GKE Autopilot automatically bypasses GCP project resource quotas and enables master endpoint access globally by default.
- CGrant the bioinformaticians the Service Account User role (roles/iam.serviceAccountUser) on the cluster service account to bypass private master network restrictions, and configure the MIG to dynamically override regional quotas.
- DAssign the primitive Owner role to all internal bioinformaticians to grant administrative master endpoint privileges, and update the Terraform state file manually to force resource creation despite active quota limits.