5.2 Implementing FinOps Practices for Optimizing Resource Utilization and Costs PROFESSIONAL-CLOUD-DEVOPS-ENGINEER Practice Questions (Page 3)

Questions 11–15

1. 11foundation · easy

   What is the primary reason to use Spot VMs for a workload that can tolerate interruption?

   • ATo reduce compute costs compared to standard on-demand VMs
   • BTo ensure the workload runs without any possibility of interruption
   • CTo guarantee higher performance than standard VMs
   • DTo get access to more CPU and memory than standard VMs
   Reveal Solution Discussion Select an answer first
2. 12foundation · easy

   How does increasing the maximum number of concurrent requests per instance affect Cloud Run costs?

   • AIt can reduce costs by allowing a single instance to handle more requests, reducing the number of instances needed
   • BIt decreases costs only if the service is configured with a minimum number of instances
   • CIt has no impact on costs because billing is based on the number of requests, not instance time
   • DIt increases costs because each instance uses more CPU and memory
   Reveal Solution Discussion Select an answer first
4. 13foundation · easy

   A team has a Compute Engine VM that is consistently using only 10% of its CPU and 20% of its memory. Which action best aligns with resource optimization principles?

   • AAdd more memory to the VM to improve performance
   • BIncrease the VM's CPU quota to allow for future growth
   • CMigrate the VM to a smaller machine type that better matches its actual usage
   • DKeep the VM as-is because it is already running efficiently
   Reveal Solution Discussion Select an answer first
5. 14foundation · easy

   A DevOps team notices that Cloud Logging and Cloud Monitoring costs have increased significantly after rolling out a new microservices application. Which practice is most effective for controlling this observability spend without losing critical operational visibility?

   • AUse log sinks to route debug-level logs to a cheaper storage class and retain only essential logs in Cloud Logging
   • BDisable all logging and metrics collection for the new application to eliminate costs
   • CConfigure log-based metrics for every log entry to gain more detailed monitoring data
   • DIncrease the sampling rate for all traces to 100% to ensure complete visibility into request paths
   Reveal Solution Discussion Select an answer first
6. 15application · medium

   A team runs a stateful application on GKE. They have noticed that the cluster has a large number of nodes that are mostly idle, and the pods have very low CPU and memory usage. They want to reduce the cost of the cluster. What is the most effective way to do this?

   • AManually delete the idle nodes and keep the cluster small, since the application is stateful.
   • BEnable node auto-provisioning and set appropriate resource requests and limits for the pods.
   • CUse Spot VMs for all nodes in the cluster, since the application is stateful and can handle preemption.
   • DIncrease the resource requests for the pods to force the cluster to use more of the existing nodes.
   Reveal Solution Discussion Select an answer first