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

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.

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.

Use the n2-highcpu-96 machine type in the configuration of the MIG.

Monitor results of Stackdriver Trace to determine the required amount of resources.

Validate that the resource requirements are within the available quota limits of each region.

Deploy the service in one region and use a global load balancer to route traffic to this region.