Crucial Exams

GCP Professional Cloud Architect Practice Question

An on-premises fintech processes 1 million payments per day with a monolithic Java Spring app. The 18-month roadmap requires: (1) deploying parts of the platform to non-Google clouds for regional data residency, (2) releasing ML fraud-detection code multiple times per week without affecting other services, and (3) handling flash-sale traffic spikes automatically. Which initial Google Cloud architecture best positions the platform for these goals while supporting today's load?

  • Deploy the application to App Engine flexible environment in a single region and rely on traffic-splitting to release updated fraud-detection code when needed.

  • Lift and shift the monolithic application to a managed-instance group of Compute Engine VMs behind an external HTTP(S) load balancer, using VM autoscaling for bursts.

  • Refactor the application into containerised microservices on GKE clusters managed by Anthos, communicate through Pub/Sub events, and use CI/CD to roll out new fraud-detection containers independently.

  • Rewrite each HTTP endpoint as an individual Cloud Function, share session state through Memorystore, and rely on automatic request-based scaling.

GCP Professional Cloud Architect
Designing and planning a cloud solution architecture
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