Free Access Google.Professional-Cloud-DevOps-Engineer.v2026-09-16.q209 Practice Test (Page 13)

Question 56

You recently noticed that one of your services has exceeded the error budget for the current rolling window period. Your company's product team is about to launch a new feature. You want to follow Site Reliability Engineering (SRE) practices. What should you do?

A.Notify the team about the lack of error budget and ensure that all their tests are successful so the launch will not further risk the error budget.

B.Notify the team that their error budget is used up. Negotiate with the team for a launch freeze or tolerate a slightly worse user experience.

C.Look through other metrics related to the product and find SLOs with remaining error budget. Reallocate the error budgets and allow the feature launch.

D.Escalate the situation and request additional error budget.

Question 57

You are responsible for the reliability of a high-volume enterprise application. A large number of users report that an important subset of the application's functionality - a data intensive reporting feature - is consistently failing with an HTTP 500 error. When you investigate your application's dashboards, you notice a strong correlation between the failures and a metric that represents the size of an internal queue used for generating reports. You trace the failures to a reporting backend that is experiencing high I/O wait times. You quickly fix the issue by resizing the backend's persistent disk (PD). How you need to create an availability Service Level Indicator (SLI) for the report generation feature. How would you define it?

A.As the I/O wait times aggregated across all report generation backends

B.As the proportion of report generation requests that result in a successful response

C.As the application's report generation queue size compared to a known-good threshold

D.As the reporting backend PD throughout capacity compared to a known-good threshold

Question 58

You support a service that recently had an outage. The outage was caused by a new release that exhausted the service memory resources. You rolled back the release successfully to mitigate the impact on users. You are now in charge of the post-mortem for the outage. You want to follow Site Reliability Engineering practices when developing the post-mortem. What should you do?

A.Use the Git history to find the related code commit. Prevent the engineer who made that commit from working on production services.

B.Focus on identifying the contributing causes of the incident rather than the individual responsible for the cause.

C.Focus on developing new features rather than avoiding the outages from recurring.

D.Plan individual meetings with all the engineers involved. Determine who approved and pushed the new release to production.

Question 59

The new version of your containerized application has been tested and is ready to be deployed to production on Google Kubernetes Engine (GKE) You could not fully load-test the new version in your pre-production environment and you need to ensure that the application does not have performance problems after deployment Your deployment must be automated What should you do?

A.Deploy the application through a continuous delivery pipeline by using canary deployments Use Cloud Monitoring to look for performance issues, and ramp up traffic as supported by the metrics

B.Deploy the application through a continuous delivery pipeline by using blue/green deployments Migrate traffic to the new version of the application and use Cloud Monitoring to look for performance issues

C.Deploy the application by using kubectl and use Config Connector to slowly ramp up traffic between versions. Use Cloud Monitoring to look for performance issues

D.Deploy the application by using kubectl and set the spec. updatestrategy. type field to RollingUpdate Use Cloud Monitoring to look for performance issues, and run the kubectl rollback command if there are any issues.

Question 60

You need to run a business-critical workload on a fixed set of Compute Engine instances for several months. The workload is stable with the exact amount of resources allocated to it. You want to lower the costs for this workload without any performance implications. What should you do?

A.Convert the instances to preemptible virtual machines.

B.Create an Unmanaged Instance Group for the instances used to run the workload.

C.Purchase Committed Use Discounts.

D.Migrate the instances to a Managed Instance Group.

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