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Answer: Lift and shift to a VM on Compute Engine. Use an instance schedule to start and stop the instance.
Option D is the correct answer. Here's why: Compute Engine provides virtual machines (VMs) that closely resemble traditional on-premises servers, allowing you to migrate your existing application with minimal modifications. You can use the instance scheduling feature to start and stop the VM at specific times, such as midnight, aligning with your data processing schedule. This 'lift and shift' approach minimizes development effort and costs, as it avoids the need for containerization or significant code changes. you only pay for the VM's compute resources when it's running, which is cost-effective for scheduled tasks.
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You have a set of binaries for on-premises data analytics that perform in-memory data file processing for a duration of approximately 45 minutes every midnight. The data files being processed have sizes varying between 1 gigabyte and 16 gigabytes. Your goal is to migrate this application to Google Cloud in a way that minimizes both effort and cost. What approach should you take?
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.
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