Associate-Cloud-Engineer Exam Dumps | You have an on-premises data analytics set of binaries that processes data files in memory for about

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Google.Associate-Cloud-Engineer.v2026-08-28.q189
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Question 4/189

You have an on-premises data analytics set of binaries that processes data files in memory for about 45 minutes every midnight. The sizes of those data files range from 1 gigabyte to 16 gigabytes. You want to migrate this application to Google Cloud with minimal effort and cost.
What should you do?

A. Create a container for the set of binaries. Use Cloud Scheduler to start a Cloud Run job for the container.

B. Create a container for the set of binaries. Deploy the container to Google Kubernetes Engine (GKE) and use the Kubernetes scheduler to start the application.

C. Upload the code to Cloud Functions. Use Cloud Scheduler to start the application.

D. Lift and shift to a VM on Compute Engine. Use an instance schedule to start and stop the instance.

Correct Answer: D

->Compute Engine: Compute Engine provides virtual machines (VMs) that closely resemble traditional on-premises servers. It allows you to migrate your existing application as-is to the Google Cloud platform.
->Instance Scheduling: You can schedule the VM instance to start and stop at specific times, such as midnight, to align with your existing processing schedule. This ensures that the application runs at the required time, similar to the on-premises setup.
->Minimal Effort and Cost: The "lift and shift" approach minimizes the need for code modifications or containerization, reducing migration complexity. It also allows you to use the same binaries and configurations as your on-premises setup, saving development effort. You only pay for the VM's compute resources when it's running, making it cost-effective.

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