
Explanation:
The correct answer is to migrate the workload to a Compute Engine VM and start and stop the instance as needed. This approach optimizes costs by only running the VM when the batch processing is required, eliminating unnecessary running costs.
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You are at an E-commerce company that conducts monthly batch processing on customer order data for insights. Currently, this process runs on an on-premises server, taking approximately 20 hours to complete. It's a monthly task that requires restarting if interrupted. How would you migrate this job to Compute Engine while optimizing costs?
A
Migrate the workload to a Google Kubernetes Engine cluster with Spot nodes.
B
C
D
Migrate the workload to a Compute Engine Spot VM.