An organization manages two distinct Compute Engine workloads in the `us-central1` region. Workload 1 consists of batch analytics processing jobs that are fault-tolerant and can tolerate unexpected interruptions. Workload 2 is a single standalone VM hosting a monitoring tool that requires automated daily backups of its boot persistent disk. Which TWO management actions should an Associate Cloud Engineer take to satisfy these operational requirements according to Google-recommended practices? (Select TWO.)
- Provision Compute Engine instances for Workload 1 using Spot VMs to reduce compute costs.Cevap
- Create a scheduled snapshot resource policy in Compute Engine and attach it to the persistent disk of Workload 2.Cevap
- CStore stateful transactional data for Workload 1 on attached Local SSDs to guarantee data persistence during preemption.
- DGrant the primitive Owner role to the monitoring service account running Workload 2 to allow disk snapshot management.
- ECreate additional Google Cloud projects whenever vCPU quota limits are reached to avoid submitting quota increase requests.
Cevap
The correct actions are to provision Spot VMs for the fault-tolerant batch processing workload and to create a scheduled snapshot resource policy attached to the persistent disk of the standalone monitoring VM.
Provisioning Spot VMs for fault-tolerant batch analytics minimizes costs because the workload can recover from preemption. Automating persistent disk backups using a scheduled snapshot resource policy ensures reliable daily backups of the standalone VM without manual intervention.
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Compute Engine Resource Management and Cost Optimization