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

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.

Create two pipeline stages, and use a canary deployment strategy.

Create a single pipeline stage, and use a standard deployment strategy.

Create a single pipeline stage, and use a canary deployment strategy.

Create two pipeline stages, and use a standard deployment strategy.

Create a Cloud Storage bucket and develop your application to send logs directly to the bucket.

Develop an App Engine application that pulls the logs from Stackdriver and saves them in BigQuery.

Create an export in Stackdriver and configure Cloud Pub/Sub to store logs in permanent storage for seven years.

Create a sink in Stackdriver, name it, create a bucket on Cloud Storage for storing archived logs, and then select the bucket as the log export destination.