Hard1 markMultiple Choice
Domain 2.2: Planning and configuring compute resourcesCompute EngineSpot VMsPreemptible VMsCost Optimization

GCP ACE · Question 13 · Domain 2.2: Planning and configuring compute resources

You are designing an architecture for a batch processing workload that renders 3D animations. The rendering jobs take about 2 hours to complete. The workload is fault-tolerant; if a job is interrupted, it can simply be restarted from the beginning without data loss. You want to minimize compute costs.

Which Compute Engine configuration is the MOST cost-effective for this workload?

Answer options:

A.

Use standard VMs with a 1-year Committed Use Discount.

B.

Use Spot VMs (or Preemptible VMs).

C.

Use custom machine types with exactly the CPU and RAM needed.

D.

Use sole-tenant nodes.

How to approach this question

Identify the key phrases: 'fault-tolerant', 'can be restarted', and 'minimize costs'. Match this to the GCP compute pricing model designed for this exact scenario.

Full Answer

B.Use Spot VMs (or Preemptible VMs).✓ Correct
Use Spot VMs (or Preemptible VMs).
Spot VMs (which replaced Preemptible VMs) are available at much lower prices (up to 91% discount) than standard VMs. Google Cloud can reclaim these instances if it needs the capacity. Because the workload is fault-tolerant and can be restarted without issue, Spot VMs are the perfect, most cost-effective choice.

Common mistakes

Thinking that a 2-hour job is too long for a Spot VM. While they can be preempted at any time, they are ideal for batch jobs that can handle interruptions.

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