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Google Associate Cloud Engineer Exam - Topic 5 Question 125 Discussion

(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?)
D) Use Spot VMs on Compute Engine.
A) Containerize the batch processing jobs and deploy them on Compute Engine.
B) Use custom machine types on Compute Engine.
C) Use the M1 machine series on Compute Engine.

Google Associate Cloud Engineer Exam - Topic 5 Question 125 Discussion

Actual exam question for Google's Associate Cloud Engineer exam
Question #: 125
Topic #: 5
[All Associate Cloud Engineer Questions]

(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?)

Show Suggested Answer Hide Answer
Suggested Answer: D

Spot VMs (formerly known as preemptible VMs) are Compute Engine virtual machine instances that are available at a much lower price than standard Compute Engine instances. However, Compute Engine might preempt (stop) these instances if it needs to reclaim those resources for other tasks. This makes Spot VMs ideal for batch processing jobs that are fault-tolerant and can handle interruptions, as they can be restarted when resources become available again. This directly addresses the requirement for a cost-effective solution for interruptible workloads.

Option A: While containerization offers portability and consistency, it doesn't inherently provide cost savings for compute resources. You would still need to choose a cost-effective underlying compute option.

Option B: Custom machine types allow you to tailor the CPU and memory configuration of your VMs, which can optimize costs to some extent by avoiding over-provisioning. However, they don't offer the significant cost reduction that Spot VMs provide.

Option C: The M1 machine series is a specific family of Compute Engine instances optimized for memory-intensive workloads. While potentially suitable for the job's requirements, it doesn't inherently address the cost-effectiveness requirement as directly as Spot VMs, which are priced lower regardless of the machine series.

Reference to Google Cloud Certified - Associate Cloud Engineer Documents:

The concept and use cases for Spot VMs are explicitly covered in the Compute Engine section of the Google Cloud documentation, which is a key area for the Associate Cloud Engineer certification. The cost savings and suitability for fault-tolerant workloads are highlighted as primary benefits.


Contribute your Thoughts:

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Tamra
3 days ago
C sounds cool, but I’m not sure it’s worth it for batch jobs.
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Shenika
8 days ago
B is interesting, but I’d stick with D for flexibility.
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Lettie
14 days ago
Wait, are Spot VMs really reliable for overnight jobs?
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Lajuana
19 days ago
I think A could work too, but not as cheap.
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Jaime
24 days ago
D is the way to go for cost savings!
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Maddie
29 days ago
I vaguely recall that the M1 machine series is designed for specific workloads, but I’m not sure if it’s the best choice for batch processing.
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Dona
1 month ago
I feel like containerizing the jobs could add some flexibility, but I'm not convinced it's the most cost-effective option for nightly processing.
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Casie
1 month ago
I’m not entirely sure, but I think custom machine types could help optimize resources for those batch jobs. It might be worth considering.
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Carole
1 month ago
I remember we discussed using Spot VMs for cost-effective solutions in class. They seem like a good fit since the jobs can handle interruptions.
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