Answer-first summary for fast verification
Answer: Utilize managed instance groups with autoscaling and preemptible VMs.
**Correct Answer: B** - Utilizing managed instance groups with autoscaling and preemptible VMs is the most efficient and cost-effective strategy for this scenario. It combines the cost savings of preemptible VMs with the scalability and automation of managed instance groups, ensuring workload completion even if some instances are preempted. **Incorrect Options:** - **A:** Automating scaling with standard VMs misses the cost-saving opportunity of preemptible VMs. - **C:** Manual scaling of standard VMs is inefficient and lacks the cost benefits of preemptible VMs. - **D:** While using preemptible VMs offers cost savings, manual scaling is inefficient and risks premature termination of instances before workload completion.
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For a daily batch processing workload requiring hundreds of compute instances for a few hours, which is not time-sensitive and aims for cost reduction, what is the optimal strategy for resource utilization and managing preemptible VMs on Google Cloud Platform?
A
Automate scaling with standard VMs based on workload demands.
B
Utilize managed instance groups with autoscaling and preemptible VMs.
C
Manually scale standard VMs up and down according to workload demands.
D
Manually scale preemptible VMs up and down based on workload demands.