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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 company stores a large volume of infrequently used data in Cloud Storage. The projects in your company's CustomerService folder access Cloud Storage frequently, but store very little data. You want to enable Data Access audit logging across the company to identify data usage patterns. You need to exclude the CustomerService folder projects from Data Access audit logging. What should you do?

Options:

A.

Enable Data Access audit logging for Cloud Storage for all projects and folders, and configure exempted principals to include users of the CustomerService folder.

B.

Enable Data Access audit logging for Cloud Storage at the organization level, with no additional configuration.

C.

Enable Data Access audit logging for Cloud Storage at the organization level, and configure exempted principals to include users of the CustomerService folder.

D.

Enable Data Access audit logging for Cloud Storage for all projects and folders other than the CustomerService folder.

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Question 2

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.

Question 3

You have an application that runs in Google Kubernetes Engine (GKE). The application consists of several microservices that are deployed to GKE by using Deployments and Services One of the microservices is experiencing an issue where a Pod returns 403 errors after the Pod has been running for more than five hours Your development team is working on a solution but the issue will not be resolved for a month You need to ensure continued operations until the microservice is fixed You want to follow Google-recommended practices and use the fewest number of steps What should you do?

Options:

A.

Create a cron job to terminate any Pods that have been running for more than five hours

B.

Add a HTTP liveness probe to the microservice s deployment

C.

Monitor the Pods and terminate any Pods that have been running for more than five hours

D.

Configure an alert to notify you whenever a Pod returns 403 errors