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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

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.

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Question 2

Your company processes IOT data at scale by using Pub/Sub, App Engine standard environment, and an application written in GO. You noticed that the performance inconsistently degrades at peak load. You could not reproduce this issue on your workstation. You need to continuously monitor the application in production to identify slow paths in the code. You want to minimize performance impact and management overhead. What should you do?

Options:

A.

Install a continuous profiling tool into Compute Engine. Configure the application to send profiling data to the tool.

B.

Periodically run the go tool pprof command against the application instance. Analyze the results by using flame graphs.

C.

Configure Cloud Profiler, and initialize the cloud.go@gle.com/go/profiler library in the application.

D.

Use Cloud Monitoring to assess the App Engine CPU utilization metric.

Question 3

You are designing a new Google Cloud organization for a client. Your client is concerned with the risks associated with long-lived credentials created in Google Cloud. You need to design a solution to completely eliminate the risks associated with the use of JSON service account keys while minimizing operational overhead. What should you do?

Options:

A.

Use custom versions of predefined roles to exclude all iam.serviceAccountKeys. * service account role permissions.

B.

Apply the constraints/iam.disableserviceAccountKeycreation constraint to the organization.

C.

Apply the constraints/iam. disableServiceAccountKeyUp10ad constraint to the organization.

D.

Grant the roles/ iam.serviceAccountKeyAdmin IAM role to organization administrators only.