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

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Google Cloud Certified - Professional Cloud DevOps Engineer Exam Questions and Answers

Question 1

Your application services run in Google Kubernetes Engine (GKE). You want to make sure that only images from your centrally-managed Google Container Registry (GCR) image registry in the altostrat-images project can be deployed to the cluster while minimizing development time. What should you do?

Options:

A.

Create a custom builder for Cloud Build that will only push images to gcr.io/altostrat-images.

B.

Use a Binary Authorization policy that includes the whitelist name pattern gcr.io/attostrat-images/.

C.

Add logic to the deployment pipeline to check that all manifests contain only images from gcr.io/altostrat-images.

D.

Add a tag to each image in gcr.io/altostrat-images and check that this tag is present when the image is deployed.

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Question 2

Your team deploys applications to three Google Kubernetes Engine (GKE) environments development staging and production You use GitHub reposrtones as your source of truth You need to ensure that the three environments are consistent You want to follow Google-recommended practices to enforce and install network policies and a logging DaemonSet on all the GKE clusters in those environments What should you do?

Options:

A.

Use Google Cloud Deploy to deploy the network policies and the DaemonSet Use Cloud Monitoring to trigger an alert if the network policies and DaemonSet drift from your source in the repository.

B.

Use Google Cloud Deploy to deploy the DaemonSet and use Policy Controller to configure the network policies Use Cloud Monitoring to detect drifts from the source in the repository and Cloud Functions tocorrect the drifts

C.

Use Cloud Build to render and deploy the network policies and the DaemonSet Set up Config Sync to sync the configurations for the three environments

D.

Use Cloud Build to render and deploy the network policies and the DaemonSet Set up a Policy Controller to enforce the configurations for the three environments

Question 3

The new version of your containerized application has been tested and is ready to be deployed to production on Google Kubernetes Engine (GKE) You could not fully load-test the new version in your pre-production environment and you need to ensure that the application does not have performance problems after deployment Your deployment must be automated What should you do?

Options:

A.

Deploy the application through a continuous delivery pipeline by using canary deployments Use Cloud Monitoring to look for performance issues, and ramp up traffic as supported by the metrics

B.

Deploy the application through a continuous delivery pipeline by using blue/green deployments Migrate traffic to the new version of the application and use Cloud Monitoring to look for performance issues

C.

Deploy the application by using kubectl and use Config Connector to slowly ramp up traffic between versions. Use Cloud Monitoring to look for performance issues

D.

Deploy the application by using kubectl and set the spec. updatestrategy. type field to RollingUpdate Use Cloud Monitoring to look for performance issues, and run the kubectl rollback command if there are any issues.