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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
Real Exam Qty:	50-60
Exam Price:	$200 (plus tax where applicable)
Passing Score:	Not publicly disclosed
Exam Format:	Multiple choice, Multiple select
Related Certifications:	Professional Cloud Architect Professional Cloud Security Engineer Professional Cloud Developer Professional Cloud Network Engineer
Available Languages:	Japanese, English
Exam Duration:	120 minutes
Certificate Validity Period:	2 years
Recommended Training:	Professional Cloud DevOps Engineer Learning Path Exam Guide
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 (Google Cloud Certified - Professional Cloud DevOps Engineer) certification exam is designed for individuals who are interested in demonstrating their proficiency in the DevOps practices and principles of Google Cloud. Google Cloud Certified - Professional Cloud DevOps Engineer Exam certification is intended for professionals who have a deep understanding of the core concepts of DevOps and possess hands-on experience in implementing these principles using Google Cloud technologies. Professional-Cloud-DevOps-Engineer Exam Tests candidates on their ability to design, implement, and manage continuous delivery systems and pipelines, as well as their ability to implement deployment management strategies.

Google Cloud Certified - Professional Cloud DevOps Engineer Exam Sample Questions (Q194-Q199):

NEW QUESTION # 194
You are the Site Reliability Engineer responsible for managing your company's data services and products.
You regularly navigate operational challenges, such as unpredictable data volume and high cost, with your company's data ingestion processes. You recently learned that a new data ingestion product will be developed in Google Cloud. You need to collaborate with the product development team to provide operational input on the new product. What should you do?

A. When the initial product version passes the quality assurance phase and compliance assessments, deploy the product to a staging environment. Share error logs and performancemetrics with the product development team.
B. Deploy the prototype product in a test environment, run a load test, and share the results with the product development team.
C. When the new product is used by at least one internal customer in production, share error logs and monitoring metrics with the product development team.
D. Review the design of the product with the product development team to provide feedback early in the design phase.

Answer: D

Explanation:
The correct answer is D. Review the design of the product with the product development team to provide feedback early in the design phase.
According to the Google Cloud DevOps best practices, a Site Reliability Engineer (SRE) should collaborate with the product development team from the beginning of the product lifecycle, not just after the product is deployed or tested. This way, the SRE can provide operational input on the product design, such as scalability, reliability, security, and cost efficiency. The SRE can also help define service level objectives (SLOs) and service level indicators (SLIs) for the product, as well as monitoring and alerting strategies. By collaborating early and often, the SRE and the product development team can ensure that the product meets the operational requirements and expectations of the customers.
Reference:
Preparing for Google Cloud Certification: Cloud DevOps Engineer Professional Certificate, Course 1: Site Reliability Engineering and DevOps, Week 1: Introduction to SRE and DevOps.

NEW QUESTION # 195
Your application runs on Google Cloud Platform (GCP). You need to implement Jenkins for deploying application releases to GCP. You want to streamline the release process, lower operational toil, and keep user data secure. What should you do?

A. Implement Jenkins on Kubernetes on-premises
B. Implement Jenkins on Google Cloud Functions.
C. Implement Jenkins on local workstations.
D. Implement Jenkins on Compute Engine virtual machines.

Answer: D

NEW QUESTION # 196
Your application images are built wing 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 would you do when you push the image?

A. Supply the source control tag as a parameter within the image name.
B. Reference the image digest in the source control tag.
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: C

NEW QUESTION # 197
You deploy a new release of an internal application during a weekend maintenance window when there is minimal user traffic. After the window ends, you learn that one of the new features isn't working as expected in the production environment. After an extended outage, you roll back the new release and deploy a fix. You want to modify your release process to reduce the mean time to recovery so you can avoid extended outages in the future. What should you do?
Choose 2 answers

A. Configure a CI server. Add a suite of unit tests to your code and have your CI server run them on commit and verify any changes.
B. Before merging new code, require 2 different peers to review the code changes.
C. Adopt the blue/green deployment strategy when releasing new code via a CD server.
D. Integrate a code linting tool to validate coding standards before any code is accepted into the repository.
E. Require developers to run automated integration tests on their local development environments before release.

Answer: B,D

NEW QUESTION # 198
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 - 150ms
95th percentile - 300ms
B. 90th percentile - 120ms
95th percentile - 275ms
C. 90th percentile - 100ms
95th percentile - 250ms
D. 90th percentile - 250ms
95th percentile - 400ms

Answer: A

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

NEW QUESTION # 199
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