Professional-Cloud-DevOps-Engineer Exam Dumps : Google Cloud Certified - Professional Cloud DevOps Engineer Exam

The best option for deploying a new version of your containerized application to production on GKE and ensuring that the application does not have performance problems after deployment is to 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. A canary deployment is a deployment strategy that involves releasing a new version of an application to a subset of users or servers and monitoring its performance and reliability. This way, you can test the new version in the production environment with real traffic and load, and gradually increase the traffic as the metrics indicate. You can use Cloud Monitoring to collect and analyze metrics from your application and GKE cluster, such as latency, error rate, CPU utilization, and memory usage. You can also use Cloud Monitoring to set up alerts and dashboards to track the performance of your application.

To control data residency in Secret Manager, you must use a user-managed replication policy to specify that secrets reside in U.S. regions, satisfying healthcare compliance requirements (e.g., HIPAA, regional residency).

“To ensure that secrets are stored only in certain regions, use user-managed replication.”

— Secret Manager Replication Policies

“If an organization policy restricts the use of the global location, use a user-managed replication policy to comply with those restrictions.”

— Policy Restrictions on Global Resources

Using user-managed replication allows you to explicitly define U.S. regions while resolving the policy block.