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PROFESSIONAL-CLOUD-ARCHITECT · Question #371

Your company is expanding its AI-powered operations nationwide and has chosen accelerator- based compute for the AI workloads. The batch image processing workloads are not time- sensitive and can tole

The correct answer is B. Deploy spot VMs with attached persistent disks and implement checkpoint mechanisms.. Spot VMs provide the lowest-cost accelerator-based compute and are appropriate because the batch workload can tolerate interruptions. Attaching persistent disks preserves data beyond the VM lifecycle, and implementing checkpointing lets jobs resume efficiently after preemption, e

Submitted by layla.eg· Mar 30, 2026Managing and provisioning cloud solution infrastructure

Question

Your company is expanding its AI-powered operations nationwide and has chosen accelerator- based compute for the AI workloads. The batch image processing workloads are not time- sensitive and can tolerate interruptions. You need to rapidly deploy cost-effective accelerator nodes for these batch tasks, ensuring rapid deployment and data persistence when necessary. What should you do?

Options

  • ADeploy standard VMs with configured accelerators and attached persistent disks.
  • BDeploy spot VMs with attached persistent disks and implement checkpoint mechanisms.
  • CDeploy spot VMs with local SSD to reduce time for bursty workloads
  • DDeploy Cloud Run functions with ephemeral local SSD.

How the community answered

(40 responses)
  • A
    3% (1)
  • B
    85% (34)
  • C
    8% (3)
  • D
    5% (2)

Explanation

Spot VMs provide the lowest-cost accelerator-based compute and are appropriate because the batch workload can tolerate interruptions. Attaching persistent disks preserves data beyond the VM lifecycle, and implementing checkpointing lets jobs resume efficiently after preemption, enabling rapid, cost-effective scaling with durability when needed.

Topics

#Spot VMs#GPU accelerators#batch processing#checkpoint mechanisms

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