Google Professional-Cloud-Developer Dumps Questions Answers

1 Configure your Cl/CD pipeline to update the Deployment manifest file by replacing the container version with the latest version.

2 Recreate the Pods in your cluster by applying the Deployment manifest file.

3 Validate the application's performance by comparing its functionality with the previous release version and roll back if an issue arises.

1 install the Anthos Service Mesh on your GKE cluster.

2 Create two Deployments on the GKE cluster and label them with different version names.

3 Create a VirtualService with a routing rule to send a small percentage of traffic to the Deployment that references the new version of the application.

1 Create a second namespace on GKE for the new release version.

2 Create a Deployment configuration for the second namespace with the desired number of Pods.

3 Deploy new container versions in the second namespace.

4 Update the ingress configuration to route traffic to the namespace with the new container versions.

1. Implement a rolling update pattern by replacing the Pods gradually with the new release versify.

2 Validate the application's performance for the new subset of users during the rollout and roll back if an issue arises.

Verify domain ownership with Webmaster Central. Create a DNS CNAME record to point to the App Engine canonical name ghs.googlehosted.com.

Verify domain ownership with Webmaster Central. Define an A record pointing to the single global App Engine IP address.

Define a mapping in dispatch.yaml to point the domain www.altostrat.com to your App Engine service. Create a DNS CNAME record to point to the App Engine canonical name ghs.googlehosted.com.

Define a mapping in dispatch.yaml to point the domain www.altostrat.com to your App Engine service. Define an A record pointing to the single global App Engine IP address.

Create a Google service account with BigQuery access. Add the JSON key to Secret Manager, and use the Go client library to access the JSON key.

Create a Google service account with BigQuery access. Add the Google service account JSON key as a Kubernetes secret, and configure the application to use this secret.

Create a Google service account with BigQuery access. Add the Google service account JSON key to Secret Manager, and use an init container to access the secret for the application to use.

Create a Google service account and a Kubernetes service account. Configure Workload Identity on the GKE cluster, and reference the Kubernetes service account on the application Deployment.