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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
Related Certifications:Professional Cloud Security Engineer
Professional Cloud Architect
Professional Cloud Developer
Professional Cloud Network Engineer
Real Exam Qty:50-60
Certificate Validity Period:2 years
Exam Price:$200 (plus tax where applicable)
Exam Format:Multiple choice, Multiple select
Passing Score:Not publicly disclosed
Exam Duration:120 minutes
Available Languages:Japanese, English
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

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Google Professional-Cloud-DevOps-Engineer Certification is an excellent choice for professionals who are interested in developing their skills and knowledge in the field of cloud DevOps engineering. Google Cloud Certified - Professional Cloud DevOps Engineer Exam certification program is designed to help professionals gain a deeper understanding of cloud computing concepts, DevOps principles, and best practices for deploying and maintaining applications on GCP.

Google Professional-Cloud-DevOps-Engineer certification exam is a highly respected certification in the field of cloud computing. It is designed to validate the skills and knowledge of professionals who are responsible for building and managing cloud-based solutions using Google Cloud Platform. Google Cloud Certified - Professional Cloud DevOps Engineer Exam certification exam requires a deep understanding of DevOps practices, as well as a comprehensive knowledge of Google Cloud Platform tools and services.

Google Cloud Certified - Professional Cloud DevOps Engineer Exam Sample Questions (Q192-Q197):

NEW QUESTION # 192
You are developing a strategy for monitoring your Google Cloud Platform (GCP) projects in production using Stackdriver Workspaces. One of the requirements is to be able to quickly identify and react to production environment issues without false alerts from development and staging projects. You want to ensure that you adhere to the principle of least privilege when providing relevant team members with access to Stackdriver Workspaces. What should you do?

Answer: C


NEW QUESTION # 193
You encountered a major service outage that affected all users of the service for multiple hours. After several hours of incident management, the service returned to normal, and user access was restored. You need to provide an incident summary to relevant stakeholders following the Site Reliability Engineering recommended practices. What should you do first?

Answer: A


NEW QUESTION # 194
You are running a web application that connects to an AlloyDB cluster by using a private IP address in your default VPC. You need to run a database schema migration in your CI/CD pipeline by using Cloud Build before deploying a new version of your application. You want to follow Google-recommended security practices. What should you do?

Answer: C


NEW QUESTION # 195
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?

Answer: B

Explanation:
Explanation
The best option for selecting the machine type for the application to use that optimizes CPU utilization by using the fewest number of steps is to use the Recommender API and apply the suggested recommendations.
The Recommender API is a service that provides recommendations for optimizing your Google Cloud resources, such as Compute Engine instances, disks, and firewalls. You can use the Recommender API to get recommendations for changing the machine type of your Compute Engine instances based on historical system metrics, such as CPU utilization. You can also apply the suggested recommendations by using the Recommender API or Cloud Console. This way, you can optimize CPU utilization by using the most suitable machine type for your application with minimal effort.


NEW QUESTION # 196
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?

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 # 197
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