Intrigued by the art of cloud architecture? Discover how to design, develop, and manage robust, secure, scalable, and dynamic solutions on Google Cloud as you prepare for the Professional Cloud Architect exam!
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Prepare and test your skills
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An enterprise is migrating multiple backend workloads to Google Cloud and must map each workload to the optimal compute service based on operational overhead, scaling characteristics, and architectural dependencies:
Which compute mapping should you recommend?
This architecture correctly maps each application archetype to its optimal Google Cloud runtime: Cloud Run for managed containerized request serving, Cloud Run functions for lightweight event-driven executions, and Google Kubernetes Engine (GKE) for complex container orchestration.
Choosing Cloud Run and Cloud Run functions eliminates cluster maintenance and operational overhead for standard HTTP endpoints and event handlers, while reserving GKE for workloads that have explicit dependencies on Kubernetes ecosystem APIs and RBAC multi-tenancy.
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