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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 organization wants to increase the availability target of an application from 99 9% to 99 99% for an investment of $2 000 The application's current revenue is S1,000,000 You need to determine whether the increase in availability is worth the investment for a single year of usage What should you do?

Options:

A.

Calculate the value of improved availability to be $900, and determine that the increase in availability is not worth the investment

B.

Calculate the value of improved availability to be $1 000 and determine that the increase in availability is not worth the investment

C.

Calculate the value of improved availability to be $1 000 and determine that the increase in availability is worth the investment

D.

Calculate the value of improved availability to be $9,000. and determine that the increase in availability is worth the investment

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Question 2

Your team deploys applications to three Google Kubernetes Engine (GKE) environments development staging and production You use GitHub reposrtones as your source of truth You need to ensure that the three environments are consistent You want to follow Google-recommended practices to enforce and install network policies and a logging DaemonSet on all the GKE clusters in those environments What should you do?

Options:

A.

Use Google Cloud Deploy to deploy the network policies and the DaemonSet Use Cloud Monitoring to trigger an alert if the network policies and DaemonSet drift from your source in the repository.

B.

Use Google Cloud Deploy to deploy the DaemonSet and use Policy Controller to configure the network policies Use Cloud Monitoring to detect drifts from the source in the repository and Cloud Functions tocorrect the drifts

C.

Use Cloud Build to render and deploy the network policies and the DaemonSet Set up Config Sync to sync the configurations for the three environments

D.

Use Cloud Build to render and deploy the network policies and the DaemonSet Set up a Policy Controller to enforce the configurations for the three environments

Question 3

You are responding to a high-priority incident where a critical, user-facing payment service is experiencing a 50% error rate. The cause is a non-critical, batch analytics Dataflow pipeline flooding a shared Memorystore for Redis instance with writes, which has spiked read latency for the payment service. A full rollback of the Dataflow pipeline's deployment will take 15 minutes to complete through your CI/CD process. You need to restore the payment service as quickly as possible. What should you do?

Options:

A.

Use Cloud Profiler to inspect the Dataflow pipeline's execution graph to pinpoint the source of the excessive writes.

B.

In the Google Cloud console, edit the Memorystore for Redis instance and increase its capacity tier.

C.

Initiate an automated rollback of the Dataflow pipeline's deployment to revert to the last stable version.

D.

Cancel the active Dataflow job.