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GCP Cloud Digital Leader Practice Question

An organization runs a decades-old engineering simulation that still relies on a proprietary kernel driver and an operating system version no longer supported on modern hardware. The application is business-critical but the source code is unavailable, and rewriting it is not feasible before next year's budget cycle. The company wants to move this workload to Google Cloud quickly to free up on-premises data center space and gain elastic capacity for peak simulation runs. Which migration approach offers the greatest business value in this situation?

  • Rehost the virtual machine to Compute Engine with minimal changes.

  • Refactor the codebase into microservices and deploy on Cloud Run.

  • Replatform the application by containerizing it and deploying on Google Kubernetes Engine.

  • Re-imagine the workload as a managed SaaS solution and phase out the current software.

GCP Cloud Digital Leader
Modernize Infrastructure and Applications with Google Cloud
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