Professional Cloud DevOps Engineer
Prepare and test your skills
Prepare and test your skills
Worked example. The correct answer is already marked and every option is explained below, so there is nothing to select here. To answer questions yourself, start the free trial.
An organization runs fault-tolerant batch data processing and CI/CD build tasks on Google Cloud Compute Engine. The DevOps team needs to optimize compute expenses using Spot VMs while satisfying the following operational criteria:
Which configuration strategy should the DevOps team implement?
Spot Virtual Machines (VMs) provide excess Compute Engine capacity at discounts of up to 60–91% compared to standard on-demand pricing. Managed Instance Groups (MIGs) manage pools of homogeneous VM instances created from a shared instance template, providing automated lifecycle management, autohealing, and scaling capabilities.
provisioningModel: SPOT (or --provisioning-model=SPOT) in the instance template configures all provisioned worker nodes as Spot VMs, maximizing cost efficiency for batch computing.Combining Spot VM provisioning with stateless MIG orchestration and shutdown script checkpointing delivers the ideal balance between high fault tolerance, automated recovery, platform compliance, and optimal cost reduction.
Keep the momentum going with these hand-picked practice scenarios
Want more questions like this?
Get a free certification question every week.