GCP Professional Cloud Architect Practice Question
Your organization has completed an automated discovery and assessment of 250 on-premises virtual machines with Migration Center. The report shows:
RHEL 8 guest OS, no proprietary kernel modules
Average utilization: 15 % CPU, 40 % memory
Containerization readiness score: 95 %
Dependency mapping shows only north-south HTTP traffic; modernization gravity is low Leadership wants the first migration wave to cut operational overhead quickly without rewriting application code. Which target runtime best aligns with the assessment results?
Build a GKE Autopilot cluster and run the containers as Deployments.
Package each API into a container image and deploy to Cloud Run (fully managed).
Rehost the virtual machines on Compute Engine using Migrate to VMs.
Rewrite the APIs as individual Cloud Functions triggered by HTTP.
The workloads are stateless HTTP services with a very high containerization readiness score and few inter-VM dependencies (low gravity). Moving directly to fully managed Cloud Run lets the team containerize each service once and rely on automatic scaling, patching, and a serverless pricing model, eliminating most day-to-day infrastructure work. GKE Autopilot still requires cluster management tasks, Compute Engine VMs are a lift-and-shift that preserves all infrastructure overhead, and Cloud Functions would require refactoring code into granular functions rather than simply packaging the existing services.
Ask Bash
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What is containerization readiness score?
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Why is Cloud Run recommended over GKE Autopilot for this migration?
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What does modernization gravity mean in dependency mapping?
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Why does Cloud Run reduce operational overhead compared to other options like GKE or Compute Engine?
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What does a high containerization readiness score indicate in a migration assessment?
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What is the significance of ‘north-south HTTP traffic’ in migration decisions?
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GCP Professional Cloud Architect
Designing and planning a cloud solution architecture
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