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Question 1

You need to deploy an internet-facing microservices application to Google Kubernetes Engine (GKE). You want to validate new features using the A/B testing method. You have the following requirements for deploying new container image releases

* There is no downtime when new container images are deployed.

* New production releases are tested and verified using a subset of production users.

What should you do?

A1 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.

B1 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.

C1 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.

D1. 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.

Correct Answer: 1

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