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Earning the Google Professional-Cloud-DevOps-Engineer Certification demonstrates to employers and clients that a professional has the skills and knowledge to design, implement, and manage DevOps practices and processes on the Google Cloud Platform. It can lead to career advancement opportunities and higher salaries. Additionally, it can help organizations that use Google Cloud Platform to identify and hire qualified professionals to manage their DevOps practices.

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The Google Professional-Cloud-DevOps-Engineer Exam covers various aspects of DevOps engineering, including continuous integration and delivery, monitoring and logging, infrastructure as code, and site reliability engineering. Additionally, it also tests the candidate's understanding of cloud security best practices, compliance, and disaster recovery.

Google Cloud Certified - Professional Cloud DevOps Engineer Exam Sample Questions (Q134-Q139):

NEW QUESTION # 134
You need to run a business-critical workload on a fixed set of Compute Engine instances for several months.
The workload is stable with the exact amount of resources allocated to it. You want to lower the costs for this workload without any performance implications. What should you do?

A. Purchase Committed Use Discounts.
B. Migrate the instances to a Managed Instance Group.
C. Convert the instances to preemptible virtual machines.
D. Create an Unmanaged Instance Group for the instances used to run the workload.

Answer: C

Explanation:
Explanation/Reference: https://cloud.google.com/compute/docs/faq

NEW QUESTION # 135
You are leading a DevOps project for your organization. The DevOps team is responsible for managing the service infrastructure and being on-call for incidents. The Software Development team is responsible for writing, submitting, and reviewing code. Neither team has any published SLOs. You want to design a new joint-ownership model for a service between the DevOps team and the Software Development team. Which responsibilities should be assigned to each team in the new joint-ownership model?

A. DevOps team responsibilities
Manage the service infrastructure
Perform code reviews
Software Development team responsibilities
Submit code to be reviewed by the DevOps team
Be on-call for incidents
Publish the SLOs that the DevOps team must meet
B. DevOps team responsibilities
Manage the service infrastructure
Be on-call for incidents
Software Development team responsibilities
Adopt and publish SLOs for the service
Submit code to be reviewed
Shared responsibilities for code reviews
C. DevOps team responsibilities
Manage the service infrastructure
Be on-call for incidents
Perform code reviews
Software Development team responsibilities
Submit code to be reviewed by the DevOps team
Publish the SLOs that the DevOps team must meet
D. DevOps team responsibilities
Shared responsibilities for code reviews
Software Development team responsibilities
Manage the service infrastructure
Be on-call for incidents on a rotation basis
Adopt and publish SLOs for the service
Submit code to be reviewed

Answer: B

Explanation:
Comprehensive and Detailed Explanation:
The best approach to a joint-ownership DevOps model follows SRE and DevOps best practices, where:
The DevOps team manages infrastructure and is on-call for incidents.
The Software Development team owns SLOs and submits code.
Code reviews should be a shared responsibility to ensure both teams maintain quality.
#Why not other options?
A (DevOps team reviewing all code)## Breaks DevOps best practices by making developers dependent on the DevOps team for code review.
B (DevOps does code reviews, developers handle incidents)## Developers should not handle on-call duties unless part of a shared rotation.
C (Developers manage infrastructure)## Developers should not be fully responsible for infrastructure.
#Official Reference:
SRE & DevOps Ownership Model
Shared Responsibility Model in Google Cloud

NEW QUESTION # 136
You need to define Service Level Objectives (SLOs) for a high-traffic multi-region web application.
Customers expect the application to always be available and have fast response times. Customers are currently happy with the application performance and availability. Based on current measurement, you observe that the
90th percentile of latency is 120ms and the 95th percentile of latency is 275ms over a 28-day window. What latency SLO would you recommend to the team to publish?

A. 90th percentile - 250ms
95th percentile - 400ms
B. 90th percentile - 150ms
95th percentile - 300ms
C. 90th percentile - 120ms
95th percentile - 275ms
D. 90th percentile - 100ms
95th percentile - 250ms

Answer: B

Explanation:
https://sre.google/sre-book/service-level-objectives/

NEW QUESTION # 137
Your organization recently adopted a container-based workflow for application development. Your team develops numerous applications that are deployed continuously through an automated build pipeline to a Kubernetes cluster in the production environment. The security auditor is concerned that developers or operators could circumvent automated testing and push code changes to production without approval. What should you do to enforce approvals?

A. Leverage Kubernetes Role-Based Access Control (RBAC) to restrict access to only approved users.
B. Use an Admission Controller to verify that incoming requests originate from approved sources.
C. Enable binary authorization inside the Kubernetes cluster and configure the build pipeline as an attestor.
D. Configure the build system with protected branches that require pull request approval.

Answer: C

Explanation:
Explanation
The keywords here is "developers or operators". Option A the operators could push images to production without approval (operators could touch the cluster directly and the cluster cannot do any action against them).
Rest same as francisco_guerra.

NEW QUESTION # 138
You are building the Cl/CD pipeline for an application deployed to Google Kubernetes Engine (GKE) The application is deployed by using a Kubernetes Deployment, Service, and Ingress The application team asked you to deploy the application by using the blue'green deployment methodology You need to implement the rollback actions What should you do?

A. Update the Kubernetes Service to point to the previous Kubernetes Deployment
B. Run the kubectl rollout undo command
C. Delete the new container image, and delete the running Pods
D. Scale the new Kubernetes Deployment to zero

Answer: A

Explanation:
Explanation
The best option for implementing the rollback actions is to update the Kubernetes Service to point to the previous Kubernetes Deployment. A Kubernetes Service is a resource that defines how to access a set of Pods.
A Kubernetes Deployment is a resource that manages the creation and update of Pods. By using the blue/green deployment methodology, you can create two Deployments, one for the current version (blue) and one for the new version (green), and use a Service to switch traffic between them. If you need to rollback, you can update the Service to point to the previous Deployment (blue) and stop sending traffic to the new Deployment (green).

NEW QUESTION # 139
......

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