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GCP Associate Cloud Engineer Practice Question

You run a nightly genomics pipeline that needs about 16 vCPUs for three hours to finish before the next business day. The workflow engine tolerates worker failures and can restart individual tasks on any healthy VM. The job currently runs on eight on-demand e2-standard-8 instances and uses no autoscaling. Finance has asked you to cut the compute bill for this workload by at least 70 % without lengthening the runtime. What should you do?

  • Create a managed instance group that uses Spot VMs with a custom machine type of 4 vCPUs and 8 GB RAM, and configure the autoscaler to maintain 16 vCPUs at all times.

  • Replace the existing VMs with eight e2-standard-8 Spot VMs and keep autoscaling disabled.

  • Migrate the workload to eight on-demand c2-standard-8 instances to finish faster and receive committed-use discounts.

  • Containerize the pipeline and deploy it to Cloud Run with a maximum of eight instances.

GCP Associate Cloud Engineer
Planning and implementing a cloud solution
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