An organization runs a batch data analysis workload on a virtual machine (VM).

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.