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An organization runs a batch data analysis workload on a virtual machine (VM). The workload can be easily restarted without losing work, and is not time critical. Organizations must choose the lowest cost option to run the workload. What option should they choose?
Correct Answer: C
The correct answer is C. A Preemptible or Spot VM on Compute Engine. Here's why: * Context of the Question: The organization runs a batch data analysis workload that is not time-critical and can be restarted without losing work, and they want to choose the lowest-cost option. * Google Cloud Product Relevance: * Preemptible VMs (also known as Spot VMs) are short-lived compute instances that offer a significantly lower cost than standard VMs. They are ideal for non-time-critical workloads that can be interrupted and restarted, such as batch data analysis. * Spot VMs are a cost-effective choice for workloads that can tolerate interruptions, providing substantial cost savings compared to standard VMs. * Why Not Other Options: * A. A standard VM in a pay-as-you-go model on Compute Engine: This would be more expensive than using preemptible or spot VMs. * B. A Cloud Function with a small memory limit: Cloud Functions are designed for event- driven tasks, not for long-running batch data analysis. * D. A custom VM in a pay-as-you-go model on Compute Engine: This would also be more expensive compared to using preemptible or spot VMs. Google Cloud Digital Leader References: * Refer to Compute Engine Spot VMs documentation to understand how to use and benefit from Spot VMs for cost savings.