Become Google Certified with updated Professional-Cloud-Developer exam questions and correct answers
A CI/CD pipeline is being developed, which includes a version control system, Cloud Build, and Container Registry. Whenever a new tag is added to the repository, a Cloud Build job is activated. This job performs unit tests on the latest code, creates a new Docker container image, and saves it to the Container Registry. The final phase of the pipeline is to deploy the updated container to the production Google Kubernetes Engine (GKE) cluster.
What options are available to choose a tool and deployment strategy that satisfies these conditions:
• No downtime should be experienced
• Automated testing should be comprehensive
• Testing before release should be possible
• Quick rollbacks should be supported
Your application is deployed across several Google Kubernetes Engine clusters, with each cluster managed by a Deployment. The Deployment has generated several replicas of your Pod in every cluster. You intend to access the logs sent to stdout for all the replicas in your Deployment across all clusters.
What is the appropriate command to use?
You are developing a new web application using Cloud Run and committing code to Cloud Source Repositories. You want to deploy new code in the most efficient way possible. You have already created a Cloud Build YAML file that builds a container and runs the following command: gcloud run deploy. What should you do next?
Working alongside the CI/CD team, you, as a developer, are tasked with identifying and resolving a problem that has arisen with a new feature that your team has recently introduced. The CI/CD team employed HashiCorp Packer to generate a fresh Compute Engine image from your development branch, which proved successful in its creation. However, the image is currently unable to start up and requires investigation by the CI/CD team.
What actions are recommended?
After deploying your application in Google Kubernetes Engine, you now require the release of a new version of the application. It is essential to have the capability to promptly revert to the previous version in case complications arise with the latest version.
What would be the most suitable deployment model to use?
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