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

1. Export VM utilization logs from Stackdriver to BigOuery.2. Create a dashboard in Data Studio.3. Share the dashboard with your stakeholders.

1. Export VM utilization logs from Stackdriver to Cloud Pub/Sub.2. From Cloud Pub/Sub, send the logs to a Security Information and Event Management (SIEM) system.3. Build the dashboards in the SIEM system and share with your stakeholders.

1. Export VM utilization logs (rom Stackdriver to BigQuery.2. From BigQuery. export the logs to a CSV file.3. Import the CSV file into Google Sheets.4. Build a dashboard in Google Sheets and share it with your stakeholders.

1. Export VM utilization logs from Stackdriver to a Cloud Storage bucket.2. Enable the Cloud Storage API to pull the logs programmatically.3. Build a custom data visualization application.4. Display the pulled logs in a custom dashboard.

Update all images in Cloud Run and all functions in Cloud Functions to send logs to both Cloud Logging andthe client's logging service Ensure that all the ports required to send logs are open in the VPC firewall

Create a Pub/Sub topic subscription and logging sink Configure the logging sink to send all logs into thetopic Give your client access to the topic to retrieve the logs

Create a storage bucket and appropriate VPC firewall rules Update all images in Cloud Run and allfunctions in Cloud Functions to send logs to a file within the storage bucket

Create a logs bucket and logging sink. Set the retention on the logs bucket to 365 days Configure thelogging sink to send logs to the bucket Give your client access to the bucket to retrieve the logs

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