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Google Professional-Cloud-DevOps-Engineer certification exam is a highly sought-after certification that is designed for IT professionals who want to demonstrate their skills in managing and deploying applications on Google Cloud Platform (GCP). Google Cloud Certified - Professional Cloud DevOps Engineer Exam certification validates the skills and knowledge of individuals in various areas of cloud computing, including DevOps practices, infrastructure automation, continuous delivery, and monitoring and logging.

To be eligible for the Professional-Cloud-DevOps-Engineer Certification Exam, candidates need to have at least three years of experience in cloud computing, software development, and DevOps practices. They also need to have a good understanding of GCP services and tools, including Compute Engine, Kubernetes Engine, Cloud Storage, Cloud SQL, Cloud Build, and Cloud Monitoring. Candidates are recommended to take the GCP Associate Cloud Engineer and GCP Professional Cloud Architect certification exams before attempting the Professional-Cloud-DevOps-Engineer certification exam.

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This updated Google Professional-Cloud-DevOps-Engineer exam study material of PrepAwayPDF consists of these 3 formats: Google Professional-Cloud-DevOps-Engineer PDF, desktop practice test software, and web-based practice exam. Each format of PrepAwayPDF aids a specific preparation style and offers unique advantages, each of which is beneficial for strong Google Cloud Certified - Professional Cloud DevOps Engineer Exam (Professional-Cloud-DevOps-Engineer) exam preparation. The features of our three formats are listed below. You can choose any format as per your practice needs.

Google Cloud Certified - Professional Cloud DevOps Engineer Exam Sample Questions (Q142-Q147):

NEW QUESTION # 142
You are monitoring a service that uses n2-standard-2 Compute Engine instances that serve large files. Users have reported that downloads are slow. Your Cloud Monitoring dashboard shows that your VMS are running at peak network throughput. You want to improve the network throughput performance. What should you do?

A. Deploy the Ops Agent to export additional monitoring metrics.
B. Change the machine type for your VMS to n2-standard-8.
C. Deploy a Cloud NAT gateway and attach the gateway to the subnet of the VMS.
D. Add additional network interface controllers (NICs) to your VMS.

Answer: B

Explanation:
The correct answer is C. Change the machine type for your VMs to n2-standard-8.
According to the Google Cloud documentation, the network throughput performance of a Compute Engine VM depends on its machine type1. The n2-standard-2 machine type has a maximum egress bandwidth of 4 Gbps, which can be a bottleneck for serving large files. By changing the machine type to n2-standard-8, you can increase the maximum egress bandwidth to 16 Gbps, which can improve the network throughput performance and reduce the download time for users.You also need to enable per VM Tier_1 networking performance, which is a feature that allows VMs to achieve higher network performance than the default settings2.
The other options are incorrect because they do not improve the network throughput performance of your VMs.Option A is incorrect because Cloud NAT is a service that allows private IP addresses to access the internet, but it does not increase the network bandwidth or speed3.Option B is incorrect because adding additional network interfaces (NICs) or IP addresses per NIC does not increase ingress or egress bandwidth for a VM1.Option D is incorrect because deploying the Ops Agent can help you monitor and troubleshoot your VMs, but it does not affect the network throughput performance4.

NEW QUESTION # 143
Your application images are built using Cloud Build and pushed to Google Container Registry (GCR). You want to be able to specify a particular version of your application for deployment based on the release version tagged in source control. What should you do when you push the image?

A. Reference the image digest in the source control tag.
B. Supply the source control tag as a parameter within the image name.
C. Use Cloud Build to include the release version tag in the application image.
D. Use GCR digest versioning to match the image to the tag in source control.

Answer: B

Explanation:
Explanation
https://cloud.google.com/container-registry/docs/pushing-and-pulling

NEW QUESTION # 144
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
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
B. 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
C. 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
D. 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

Answer: C

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 # 145
You recently noticed that one Of your services has exceeded the error budget for the current rolling window period. Your company's product team is about to launch a new feature. You want to follow Site Reliability Engineering (SRE) practices.
What should you do?

A. Look through other metrics related to the product and find SLOs with remaining error budget. Reallocate the error budgets and allow the feature launch.
B. Escalate the situation and request additional error budget.
C. Notify the team about the lack of error budget and ensure that all their tests are successful so the launch will not further risk the error budget.
D. Notify the team that their error budget is used up. Negotiate with the team for a launch freeze or tolerate a slightly worse user experience.

Answer: D

NEW QUESTION # 146
You are developing the deployment and testing strategies for your CI/CD pipeline in Google Cloud You must be able to
* Reduce the complexity of release deployments and minimize the duration of deployment rollbacks
* Test real production traffic with a gradual increase in the number of affected users You want to select a deployment and testing strategy that meets your requirements What should you do?

A. Rolling update deployment and shadow testing
B. Recreate deployment and canary testing
C. Blue/green deployment and canary testing
D. Rolling update deployment and A/B testing

Answer: C

Explanation:
The best option for selecting a deployment and testing strategy that meets your requirements is to use blue
/green deployment and canary testing. A blue/green deployment is a deployment strategy that involves creating two identical environments, one running the current version of the application (blue) and one running the new version of the application (green). The traffic is switched from blue to green after testing the new version, and if any issues are discovered, the traffic can be switched back to blue instantly. This way, you can reduce the complexity of release deployments and minimize the duration of deployment rollbacks. A canary testing is a testing strategy that involves releasing a new version of an application to a subset of users or servers and monitoring its performance and reliability. This way, you can test real production traffic with a gradual increase in the number of affected users.

NEW QUESTION # 147
......

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Professional-Cloud-DevOps-Engineer Pass Test Guide | Professional-Cloud-DevOps-Engineer New Exam Bootcamp

Professional-Cloud-DevOps-Engineer New Exam Bootcamp - Professional-Cloud-DevOps-Engineer Valid Exam Blueprint

Google Cloud Certified - Professional Cloud DevOps Engineer Exam Sample Questions (Q142-Q147):

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