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Google Updated Professional-Cloud-DevOps-Engineer Exam Questions and Answers by zak

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Google Professional-Cloud-DevOps-Engineer Exam Overview :

Exam Name: Google Cloud Certified - Professional Cloud DevOps Engineer Exam
Exam Code: Professional-Cloud-DevOps-Engineer Dumps
Vendor: Google Certification: Cloud DevOps Engineer
Questions: 201 Q&A's Shared By: zak
Question 48

You are responsible for creating development environments for your company's development team. You want to create environments with identical IDEs for all developers while ensuring that these environments are not exposed to public networks. You need to choose the most cost-effective solution without impacting developer productivity. What should you do?

Options:

A.

Create a Cloud Workstations private cluster. Create a workstation configuration with a runningTimeout parameter.

B.

Create a Cloud Workstations private cluster. Create a workstation configuration with an idleTimeout parameter.

C.

Create multiple Compute Engine VM instances with an external IP address and use a Public NAT gateway. Configure an instance schedule to shut down the VMs.

D.

Create multiple Compute Engine VM instances without an external IP address. Configure an instance schedule to shut down the VMs.

Discussion
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Question 49

Your application artifacts are being built and deployed via a CI/CD pipeline. You want the CI/CD pipeline to securely access application secrets. You also want to more easily rotate secrets in case of a security breach. What should you do?

Options:

A.

Prompt developers for secrets at build time. Instruct developers to not store secrets at rest.

B.

Store secrets in a separate configuration file on Git. Provide select developers with access to the configuration file.

C.

Store secrets in Cloud Storage encrypted with a key from Cloud KMS. Provide the CI/CD pipeline with access to Cloud KMS via IAM.

D.

Encrypt the secrets and store them in the source code repository. Store a decryption key in a separate repository and grant your pipeline access to it

Discussion
Question 50

Your company runs services by using multiple globally distributed Google Kubernetes Engine (GKE) clusters Your operations team has set up workload monitoring that uses Prometheus-based tooling for metrics alerts: and generating dashboards This setup does not provide a method to view metrics globally across all clusters You need to implement a scalable solution to support global Prometheus querying and minimize management overhead What should you do?

Options:

A.

Configure Prometheus cross-service federation for centralized data access

B.

Configure workload metrics within Cloud Operations for GKE

C.

Configure Prometheus hierarchical federation for centralized data access

D.

Configure Google Cloud Managed Service for Prometheus

Discussion
Question 51

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

Discussion
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