Medium1 markMultiple Choice
Domain 2.2: Planning and configuring compute resourcesCompute EnginePreemptible VMsCost OptimizationBatch Processing
GCP ACE · Question 13 · Domain 2.2: Planning and configuring compute resources
You are designing a batch processing architecture to render 3D video frames. The rendering jobs are fault-tolerant; if a job is interrupted, it can simply be restarted from the beginning without issues. The rendering process takes about 15 hours to complete in total, but individual frame jobs take only 10 minutes. You want to minimize compute costs.
Which Compute Engine feature should you utilize?
You are designing a batch processing architecture to render 3D video frames. The rendering jobs are fault-tolerant; if a job is interrupted, it can simply be restarted from the beginning without issues. The rendering process takes about 15 hours to complete in total, but individual frame jobs take only 10 minutes. You want to minimize compute costs.
Which Compute Engine feature should you utilize?
Answer options:
A.
Committed Use Discounts
B.
Preemptible VMs (Spot VMs)
C.
Sustained Use Discounts
D.
Sole-tenant nodes
How to approach this question
Identify the workload characteristics: fault-tolerant, short individual tasks, cost-sensitive. This is the textbook use case for Preemptible/Spot VMs.
Full Answer
B.Preemptible VMs (Spot VMs)✓ Correct
Preemptible VMs (or Spot VMs)
Preemptible VMs (and the newer Spot VMs) are highly affordable compute instances that Google Cloud offers at a steep discount compared to standard VMs. The trade-off is that Compute Engine might terminate (preempt) these instances if it needs to reclaim the compute capacity. Because the video rendering jobs are fault-tolerant and take only 10 minutes each, the workload can easily handle interruptions, making Preemptible VMs the most cost-effective choice.
Common mistakes
Choosing Sustained Use Discounts, forgetting that they only apply if the VM runs for more than 25% of the month.
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