Google Professional-Cloud-DevOps-Engineer Exam With Confidence Using Practice Dumps

Enable Data Access audit logging for Cloud Storage for all projects and folders, and configure exempted principals to include users of the CustomerService folder.

Enable Data Access audit logging for Cloud Storage at the organization level, with no additional configuration.

Enable Data Access audit logging for Cloud Storage at the organization level, and configure exempted principals to include users of the CustomerService folder.

Enable Data Access audit logging for Cloud Storage for all projects and folders other than the CustomerService folder.

Verity the maximum node pool size, enable a horizontal pod autoscaler, and then perform a load test to verity your expected resource needs.

Because you are deployed on GKE and are using a cluster autoscaler. your GKE cluster will scale automatically, regardless of growth rate.

Because you are at only 30% utilization, you have significant headroom and you won't need to add any additional capacity for this rate of growth.

Proactively add 60% more node capacity to account for six months of 10% growth rate, and then perform a load test to make sure you have enough capacity.

Use the default Stackdriver Kubernetes Engine Monitoring agent configuration.

Deploy a Fluentd daemonset to GKE. Then create a customized input and output configuration to tail the log file in the application's pods and write to Slackdriver Logging.

Install Kubernetes on Google Compute Engine (GCE> and redeploy your applications. Then customize the built-in Stackdriver Logging configuration to tail the log file in the application's pods and write to Stackdriver Logging.

Write a script to tail the log file within the pod and write entries to standard output. Run the script as a sidecar container with the application's pod. Configure a shared volume between the containers to allow the script to have read access to /var/log in the application container.