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GCP Professional Cloud Security Engineer Practice Question

Your organization must prevent PHI that resides in a production Cloud Storage bucket from being copied to any Google Cloud resource outside a tightly controlled analytics environment, even if a valid credential is leaked. The analytics workload runs in a separate project. External analysts employed by a partner need to load reference data into a BigQuery dataset in the analytics project from a known static public IPv4 /29 block. Which architecture change most effectively enforces these compliance requirements while allowing the partner upload path to continue working?

  • Enable Private Service Connect for BigQuery in both projects, disable Cloud NAT, and rely on VPC firewall rules to restrict internet egress.

  • Place both projects in a single VPC Service Controls perimeter; add an ingress policy that allows BigQuery requests only when they originate from the partner's static IP range, and leave the perimeter's egress policy at its default deny setting.

  • Harden IAM by removing the Storage Object Admin role from all users outside the analytics project and set the compute.vmExternalIpAccess organization policy constraint to deny.

  • Merge analytics and production workloads into a Shared VPC host project and apply hierarchical firewall egress rules that allow traffic only to BigQuery API endpoints.

GCP Professional Cloud Security Engineer
Supporting compliance requirements
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