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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

You manage a retail website for your company. The website consists of several microservices running in a GKE Standard node pool with node autoscaling enabled. Each microservice has resource limits and a Horizontal Pod Autoscaler configured. During a busy period, you receive alerts for one of the microservices. When you check the Pods, half of them have the status OOMKilled, and the number of Pods is at the minimum autoscaling limit. You need to resolve the issue. What should you do?

Options:

A.

Increase the memory resource limit of the microservice.

B.

Increase the maximum number of nodes in the node pool.

C.

Increase the maximum replica limit of the Horizontal Pod Autoscaler.

D.

Update the node pool to use a machine type with more memory.

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Question 2

You are developing the deployment and testing strategies for your CI/CD pipeline in Google Cloud You must be able to

• Reduce the complexity of release deployments and minimize the duration of deployment rollbacks

• Test real production traffic with a gradual increase in the number of affected users

You want to select a deployment and testing strategy that meets your requirements What should you do?

Options:

A.

Recreate deployment and canary testing

B.

Blue/green deployment and canary testing

C.

Rolling update deployment and A/B testing

D.

Rolling update deployment and shadow testing

Question 3

You use Spinnaker to deploy your application and have created a canary deployment stage in the pipeline. Your application has an in-memory cache that loads objects at start time. You want to automate the comparison of the canary version against the production version. How should you configure the canary analysis?

Options:

A.

Compare the canary with a new deployment of the current production version.

B.

Compare the canary with a new deployment of the previous production version.

C.

Compare the canary with the existing deployment of the current production version.

D.

Compare the canary with the average performance of a sliding window of previous production versions.