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Answer: Create an Instance Template with Spot VMs On. Create a Managed Instance Group from the template and adjust Target CPU Utilization. Migrate the workload.
Option A is the correct answer. Using an Instance Template with Spot VMs in a Managed Instance Group (MIG) is the most cost-effective solution for this scenario. This setup leverages the cost savings of Spot VMs while also providing the ability to handle interruptions through a Managed Instance Group. The automatic scaling based on CPU utilization helps manage resources efficiently, further reducing costs. Additionally, even if individual instances are preempted, the Managed Instance Group ensures the process is completed by restarting any interrupted instances.
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Your company operates a monthly batch process on an on-premises server, and this task usually takes about 30 hours to complete. The batch job is offline and needs to restart from the beginning if it's interrupted. You are looking to migrate this process to the cloud with a focus on minimizing costs. What steps would you take to achieve this?
A
Create an Instance Template with Spot VMs On. Create a Managed Instance Group from the template and adjust Target CPU Utilization. Migrate the workload.
B
Migrate the workload to a Compute Engine VM. Start and stop the instance as needed.
C
Migrate the workload to a Google Kubernetes Engine cluster with Spot nodes.
D
Migrate the workload to a Compute Engine Spot VM.
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