2.2 Implementing and Managing Pipelines PROFESSIONAL-CLOUD-DEVOPS-ENGINEER Practice Questions (Page 1)

Questions 1–5

1. 1foundation · easy

   Which Google Cloud service provides logs that can be used to trace the execution of a Cloud Build pipeline step-by-step?

   • ACloud Deploy logs
   • BCloud Monitoring logs
   • CCloud Build logs
   • DCloud Logging only for VPC flow logs
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2. 2foundation · easy

   Which deployment strategy involves deploying a new version to a small subset of users before rolling it out to the rest?

   • ARolling
   • BCanary
   • CBlue/green
   • DRecreate
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4. 3foundation · easy

   For a machine learning model deployment, which metric is most relevant to validate that the model is performing correctly?

   • AModel accuracy
   • BDisk usage
   • CContainer startup time
   • DNumber of pods
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5. 4expert · hard

   Your team is using feature flags to manage a new checkout flow. The feature flag is currently enabled for 10% of users. You need to increase the rollout to 50% of users, but you are concerned about the impact on the database load. You have a Cloud Monitoring alert that fires when database CPU utilization exceeds 80%. What is the most appropriate way to proceed?

   • AIncrease the feature flag to 50% and rely on the database's autoscaling to handle the increased load.
   • BIncrease the feature flag to 50% and simultaneously scale up the database to handle the expected load.
   • CIncrease the feature flag to 50% and monitor the database CPU utilization alert. If the alert fires, roll back the feature flag to 10%.
   • DUse a progressive rollout approach: increase the feature flag to 25%, monitor the database CPU utilization, then increase to 50% if the CPU utilization is stable.
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6. 5application · medium

   Your team is working on a new feature that will be rolled out to users gradually. The feature is controlled by a feature flag. You have deployed the application code with the flag set to 'off' for all users. You now want to enable the feature for 10% of your users. You are using Cloud Deploy for your delivery pipeline. What is the most appropriate way to enable the feature for this subset of users?

   • AUse Cloud Deploy's rollout strategy to shift 10% of traffic to a new revision that has the feature flag enabled.
   • BModify the feature flag configuration in the application's configuration file and redeploy the application using Cloud Deploy.
   • CCreate a new branch in your source repository with the feature flag enabled and deploy it using Cloud Build.
   • DUse a feature flag management service (e.g., Firebase Remote Config or a custom service) to change the flag value for 10% of users without redeploying.
   Reveal Solution Discussion Select an answer first