Google Updated Professional-Cloud-DevOps-Engineer Exam Questions and Answers by koby

Check the serial port logs of the Compute Engine instance.

Use Stackdriver Profiler to visualize the resources utilization throughout the application.

Determine whether there is an increased number of connections to the Cloud SQL instance.

Use Cloud Security Scanner to see whether your Cloud SQL is under a Distributed Denial of Service (DDoS) attack.

Develop a postmortem that includes the root causes, resolution, lessons learned, and a prioritized list of action items. Share it with the manager only.

Develop a postmortem that includes the root causes, resolution, lessons learned, and a prioritized list of action items. Share it on the engineering organization's document portal.

Develop a postmortem that includes the root causes, resolution, lessons learned, the list of people responsible, and a list of action items for each person. Share it with the manager only.

Develop a postmortem that includes the root causes, resolution, lessons learned, the list of people responsible, and a list of action items for each person. Share it on the engineering organization's document portal.

Update all images in Cloud Run and all functions in Cloud Functions to send logs to both Cloud Logging and

the 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 the

topic 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 all

functions 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 the

logging sink to send logs to the bucket Give your client access to the bucket to retrieve the logs

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.