You are migrating your company's on-premises compute resources to Google Cloud. You need to deploy batch processing jobs that run every night. The jobs require significant CPU and memory for several h

The correct answer is D. Use Spot VMs on Compute Engine.. Using Spot VMs on Compute Engine is the most cost-effective solution for batch processing jobs that require significant CPU and memory for several hours and can tolerate interruptions. Spot VMs are discounted instances that can be preempted by Google Cloud at any time, making the

Submitted by omar99· Mar 30, 2026Planning and configuring a cloud solution

Question

You are migrating your company's on-premises compute resources to Google Cloud. You need to deploy batch processing jobs that run every night. The jobs require significant CPU and memory for several hours but can tolerate interruptions. You must ensure that the deployment is cost- effective. What should you do?

Options

AContainerize the batch processing jobs and deploy them on Compute Engine.
BUse custom machine types on Compute Engine.
CUse the M1 machine series on Compute Engine.
DUse Spot VMs on Compute Engine.

How the community answered

(32 responses)

A
3% (1)
C
6% (2)
D
91% (29)

Explanation

Using Spot VMs on Compute Engine is the most cost-effective solution for batch processing jobs that require significant CPU and memory for several hours and can tolerate interruptions. Spot VMs are discounted instances that can be preempted by Google Cloud at any time, making them ideal for workloads that are not time-sensitive and can handle interruptions. This approach minimizes costs while meeting your performance requirements.

Topics

#Spot VMs#batch processing#cost optimization#interruptible workloads

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