Professional-Cloud-DevOps-Engineer : Google Cloud Certified - Professional Cloud DevOps Engineer Exam dumps & Google Professional-Cloud-DevOps-Engineer test-king

2026 Latest DumpsActual Professional-Cloud-DevOps-Engineer PDF Dumps and Professional-Cloud-DevOps-Engineer Exam Engine Free Share: https://drive.google.com/open?id=1s7QOkRtRssCo9DzJ8LRLjTkn0FSxOnkk

Useful Professional-Cloud-DevOps-Engineer exam prep is subservient to your development. To add up your interests and simplify some difficult points, our experts try their best to design our Professional-Cloud-DevOps-Engineer training material and help you understand the Professional-Cloud-DevOps-Engineer study guide better. And our experts generalize the knowledge of the exam into our products showing in three versions: the PDF, the Software and the APP online. You can choose your most desirable way to practice our Professional-Cloud-DevOps-Engineer Preparation engine on the daily basis.

Google Professional-Cloud-DevOps-Engineer Exam Overview:

Certification Vendor:	Google Cloud
Exam Name:	Google Cloud Certified - Professional Cloud DevOps Engineer Exam
Exam Number:	Professional-Cloud-DevOps-Engineer
Exam Duration:	120 minutes
Exam Price:	$200 (plus tax where applicable)
Passing Score:	Not publicly disclosed
Real Exam Qty:	50-60
Related Certifications:	Professional Cloud Architect Professional Cloud Network Engineer Professional Cloud Security Engineer Professional Cloud Developer
Certificate Validity Period:	2 years
Available Languages:	English, Japanese
Exam Format:	Multiple select, Multiple choice
Recommended Training:	Exam Guide Professional Cloud DevOps Engineer Learning Path
Exam Registration:	Google Cloud Certification Registration
Sample Questions:	Google Professional-Cloud-DevOps-Engineer Sample Questions
Exam Way:	Online proctored (remote) or onsite proctored (testing center)
Pre Condition:	No mandatory prerequisites; recommended: 3+ years industry experience, 1+ year managing production systems on Google Cloud
Official Syllabus URL:	https://cloud.google.com/learn/certification/cloud-devops-engineer

>> Detailed Professional-Cloud-DevOps-Engineer Answers <<

Professional-Cloud-DevOps-Engineer Dumps, New Professional-Cloud-DevOps-Engineer Dumps Ebook

If you're looking to advance your Google career, Google Professional-Cloud-DevOps-Engineer Exam can help you achieve that goal. This certification exam is essential to assist professionals in every aspect of their field. However, studying for the exam can be challenging, and finding reliable study materials can be difficult. This is where DumpsActual comes in.

Google Professional-Cloud-DevOps-Engineer Certification is highly respected in the industry and is recognized by many leading organizations. It demonstrates a candidate's expertise in cloud-based DevOps engineering and is a valuable asset for professionals looking to advance their career in this field. Google Cloud Certified - Professional Cloud DevOps Engineer Exam certification is also a requirement for many high-level DevOps engineering positions, making it a worthwhile investment for anyone looking to excel in this field.

Google Cloud Certified - Professional Cloud DevOps Engineer Exam Sample Questions (Q113-Q118):

NEW QUESTION # 113
You work for a global organization and are running a monolithic application on Compute Engine You need to select the machine type for the application to use that optimizes CPU utilization by using the fewest number of steps You want to use historical system metncs to identify the machine type for the application to use You want to follow Google-recommended practices What should you do?

A. Install the Ops Agent in a fleet of VMs by using the gcloud CLI
B. Use the Recommender API and apply the suggested recommendations
C. Create an Agent Policy to automatically install Ops Agent in all VMs
D. Review the Cloud Monitoring dashboard for the VM and choose the machine type with the lowest CPU utilization

Answer: B

NEW QUESTION # 114
Your organization has a containerized web application that runs on-premises As part of the migration plan to Google Cloud you need to select a deployment strategy and platform that meets the following acceptance criteria
1 The platform must be able to direct traffic from Android devices to an Android-specific microservice
2 The platform must allow for arbitrary percentage-based traffic splitting
3 The deployment strategy must allow for continuous testing of multiple versions of any microservice What should you do?

A. Deploy the canary release of the application to App Engine Use traffic splitting to direct a subset of user traffic to the new version based on the IP address
B. Deploy the canary release of the application to Compute Engine Use Anthos Service Mesh with Compute Engine to direct 10% of user traffic to the canary release by configuring the virtual service.
C. Deploy the canary release of the application to Cloud Run Use traffic splitting to direct 10% of user traffic to the canary release based on the revision tag
D. Deploy the canary release to Google Kubernetes Engine with Anthos Sen/ice Mesh Use traffic splitting to direct 10% of user traffic to the new version based on the user-agent header configured in the virtual service

Answer: D

Explanation:
The best option for deploying a containerized web application to Google Cloud with the given acceptance criteria is to use Google Kubernetes Engine (GKE) with Anthos Service Mesh. GKE is a managed service for running Kubernetes clusters on Google Cloud, and Anthos Service Mesh is a service mesh that provides observability, traffic management, and security features for microservices. With Anthos Service Mesh, you can use traffic splitting to direct traffic from Android devices to an Android-specific microservice by configuring the user-agent header in the virtual service. You can also use traffic splitting to direct arbitrary percentage-based traffic to different versions of any microservice for continuous testing. For example, you can use a canary release strategy to direct 10% of user traffic to a new version of a microservice and monitor its performance and reliability.

NEW QUESTION # 115
You use Terraform to manage an application deployed to a Google Cloud environment The application runs on instances deployed by a managed instance group The Terraform code is deployed by using a CI/CD pipeline When you change the machine type on the instance template used by the managed instance group, the pipeline fails at the terraform apply stage with the following error message

You need to update the instance template and minimize disruption to the application and the number of pipeline runs What should you do?

A. Remove the managed instance group from the Terraform state file update the instance template and reimport the managed instance group.
B. Delete the managed instance group and recreate it after updating the instance template
C. Add a new instance template update the managed instance group to use the new instance template and delete the old instance template
D. Set the create_bef ore_destroy meta-argument to true in the lifecycle block on the instance template

Answer: D

Explanation:
The best option for updating the instance template and minimizing disruption to the application and the number of pipeline runs is to set the create_before_destroy meta-argument to true in the lifecycle block on the instance template. The create_before_destroy meta-argument is a Terraform feature that specifies that a new resource should be created before destroying an existing one during an update. This way, you can avoid downtime and errors when updating a resource that is in use by another resource, such as an instance template that is used by a managed instance group. By setting the create_before_destroy meta-argument to true in the lifecycle block on the instance template, you can ensure that Terraform creates a new instance template with the updated machine type, updates the managed instance group to use the new instance template, and then deletes the old instance template.

NEW QUESTION # 116
You are responsible for creating and modifying the Terraform templates that define your Infrastructure. Because two new engineers will also be working on the same code, you need to define a process and adopt a tool that will prevent you from overwriting each other's code. You also want to ensure that you capture all updates in the latest version. What should you do?

A. * Store your code as text files in Google Drive in a defined folder structure that organizes the files.* At the end of each day, confirm that all changes have been captured in the files within the folder structure and create a new .zip archive with a predefined naming convention.* Upload the .zip archive to a versioned Cloud Storage bucket and accept it as the latest version.
B. * Store your code as text files in Google Drive in a defined folder structure that organizes the files.* At the end of each day. confirm that all changes have been captured in the files within the folder structure.* Rename the folder structure with a predefined naming convention that increments the version.
C. * Store your code in a Git-based version control system.* Establish a process that includes code reviews by peers and unit testing to ensure integrity and functionality before integration of code.* Establish a process where the fully integrated code in the repository becomes the latest master version.
D. * Store your code in a Git-based version control system.* Establish a process that allows developers to merge their own changes at the end of each day.* Package and upload code lo a versioned Cloud Storage bucket as the latest master version.

Answer: C

NEW QUESTION # 117
You have a CI/CD pipeline that uses Cloud Build to build new Docker images and push them to Docker Hub. You use Git for code versioning. After making a change in the Cloud Build YAML configuration, you notice that no new artifacts are being built by the pipeline. You need to resolve the issue following Site Reliability Engineering practices. What should you do?

A. Change the CI pipeline to push the artifacts to Container Registry instead of Docker Hub.
B. Disable the CI pipeline and revert to manually building and pushing the artifacts.
C. Upload the configuration YAML file to Cloud Storage and use Error Reporting to identify and fix the issue.
D. Run a Git compare between the previous and current Cloud Build Configuration files to find and fix the bug.

Answer: D

NEW QUESTION # 118
......

Professional-Cloud-DevOps-Engineer Dumps: https://www.dumpsactual.com/Professional-Cloud-DevOps-Engineer-actualtests-dumps.html

BONUS!!! Download part of DumpsActual Professional-Cloud-DevOps-Engineer dumps for free: https://drive.google.com/open?id=1s7QOkRtRssCo9DzJ8LRLjTkn0FSxOnkk