5.2 Implementing FinOps Practices for Optimizing Resource Utilization and Costs PROFESSIONAL-CLOUD-DEVOPS-ENGINEER Practice Questions (Page 4)

Questions 16–20

1. 16foundation · easy

   What is the main purpose of manageability and reliability recommenders?

   • ATo enhance operational efficiency and prevent costly failures by suggesting best practices
   • BTo replace the need for a Site Reliability Engineering (SRE) team
   • CTo automatically fix any reliability issues in your infrastructure
   • DTo provide a direct comparison of costs between different cloud providers
   Reveal Solution Discussion Select an answer first
2. 17application · medium

   A DevOps team is responsible for a large GCP project with hundreds of Compute Engine VMs. They have been asked to find cost-saving opportunities but have limited time. They want to use a tool that can automatically identify idle resources and right-sizing opportunities. What should they use?

   • AThe Cloud Monitoring dashboard to check CPU utilization for all VMs.
   • BThe Cloud Billing reports page to manually analyze usage and find idle VMs.
   • CThe Recommender service to view idle resource and rightsizing recommendations for their Compute Engine VMs.
   • DThe Cloud Asset Inventory to list all VMs and their machine types.
   Reveal Solution Discussion Select an answer first
4. 18foundation · easy

   How do sustained-use discounts (SUDs) apply to Compute Engine resources?

   • AThey require you to submit a request to Google Cloud support to enable them
   • BThey must be purchased in advance for a 1-year or 3-year term
   • CThey only apply to Spot VMs
   • DThey are applied automatically to resources that run for a significant portion of the billing month
   Reveal Solution Discussion Select an answer first
5. 19application · medium

   A DevOps team runs a large microservices environment on GKE. They notice that their monthly observability bill has grown to 30% of their total cloud spend, driven primarily by custom application metrics exported from each pod at 10-second intervals. They want to reduce this cost without losing the ability to detect sudden spikes in error rates. What should they do first?

   • ADisable all custom metrics and rely exclusively on the built-in GKE system metrics, which are free.
   • BReduce the export frequency of custom metrics to 60 seconds and rely on the recommender to identify any remaining high-cost metric streams.
   • CIncrease the retention period for custom metrics to 90 days to get a volume discount.
   • DMove all logs to Cloud Storage and use BigQuery for analysis, which is cheaper than Cloud Logging.
   Reveal Solution Discussion Select an answer first
6. 20application · medium

   A team runs a stateless API service on Cloud Run. They have noticed that the service is often idle, but they are still paying for a minimum number of instances. They want to reduce costs. What should they do?

   • ASet the maximum number of instances to one to limit the cost.
   • BSet the minimum number of instances to zero and allow the service to scale to zero when there is no traffic.
   • CMove the service to Compute Engine to have more control over the instances.
   • DIncrease the concurrency setting to allow each instance to handle more requests, reducing the number of instances needed.
   Reveal Solution Discussion Select an answer first