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.

Use the --cache-from parameter, and point to Artifact Registry. Add the most frequently modified files to the later stages of the build process.

Use the --cache-from parameter, and point to Artifact Registry. Add the most frequently modified files to the earlier stages of the build process.

Cache the container layers of the build process to Cloud Storage. Add the most frequently modified files to the earlier stages of the build process.

Cache the container layers of the build process to Cloud Storage. Add the most frequently modified files to the later stages of the build process.

Make the service’s SLO more strict.

Increase the service’s deployment velocity and/or risk.

Shift engineering time to other services that need more reliability.

Get the product team to prioritize reliability work over new features.

Change the implementation of your Service Level Indicators (SLIs) to increase coverage.