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

Create one Google Cloud project per team In each project create a cluster for development and one forproduction Grant the teams Identity and Access Management (1AM) access to their respective clusters

Create one Google Cloud project per team In each project create a cluster with a Kubernetes namespacefor development and one for production Grant the teams Identity and Access Management (1AM) access to their respective clusters.

Create a development and a production GKE cluster in separate projects In each cluster create a Kubernetes namespace per team and then configure Identity-Aware Proxy so that each team can onlyaccess its own namespace

Create a development and a production GKE cluster in separate projects In each cluster create a Kubernetes namespace per team and then configure Kubernetes role-based access control (RBAC) so that each team can only access its own namespace

Use the Google Cloud console to create projects.

Write a script by using the gcloud CLI that passes the appropriate parameters from the request. Save the script in a Git repository.

Write a Terraform module and save it in your source control repository. Copy and run the apply command to create the new project.

Use the Terraform repositories from the Cloud Foundation Toolkit. Apply the code with appropriate parameters to create the Google Cloud project and related resources.

Reroute the user traffic from the affected region to other regions that don’t report issues.

Use Stackdriver Monitoring to check for a spike in CPU or memory usage for the affected region.

Add an extra node pool that consists of high memory and high CPU machine type instances to the cluster.

Use Stackdriver Logging to filter on the clusters in the affected region, and inspect error messages in the logs.