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Google Professional-Cloud-DevOps-Engineer Dumps

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Google Cloud Certified - Professional Cloud DevOps Engineer Exam
Last Update: Feb 22, 2024
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Professional-Cloud-DevOps-Engineer FAQs

The Google Professional-Cloud-DevOps-Engineer Exam evaluates practices like continuous integration and deployment (CI/CD), site reliability engineering principles, monitoring and logging, and efficient incident management, focusing on their application in Google Cloud environments.

The exam assesses skills in cloud-native technologies by testing knowledge of Google Cloud services, containerization with Kubernetes, microservices architecture, and serverless solutions. It emphasizes practical application and optimization of these technologies in real-world cloud environments.

For the exam, a comprehensive understanding of Kubernetes and containerization is required. This includes deploying, managing, and scaling containerized applications using Kubernetes on Google Cloud, alongside knowledge of container orchestration principles and best practices in a cloud environment.

In the Google Cloud DevOps Engineer exam, expect scenario-based questions that simulate real-world challenges, such as setting up CI/CD pipelines, managing cloud infrastructure, implementing security best practices, and troubleshooting deployment issues within the Google Cloud ecosystem.

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Google Cloud Certified - Professional Cloud DevOps Engineer Exam Questions and Answers

Questions 1

You support an e-commerce application that runs on a large Google Kubernetes Engine (GKE) cluster deployed on-premises and on Google Cloud Platform. The application consists of microservices that run in containers. You want to identify containers that are using the most CPU and memory. What should you do?



Use Stackdriver Kubernetes Engine Monitoring.


Use Prometheus to collect and aggregate logs per container, and then analyze the results in Grafana.


Use the Stackdriver Monitoring API to create custom metrics, and then organize your containers using groups.


Use Stackdriver Logging to export application logs to BigOuery. aggregate logs per container, and then analyze CPU and memory consumption.

Questions 2

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?



Implement Jenkins on local workstations.


Implement Jenkins on Kubernetes on-premises


Implement Jenkins on Google Cloud Functions.


Implement Jenkins on Compute Engine virtual machines.

Questions 3

Your applications performance in Google Cloud has degraded since the last release You suspect that downstream dependencies might be causing some requests to take longer to complete You need to investigate the issue with your application to determine the cause What should you do?



Configure Error Reporting in your application


Configure Google Cloud Managed Service for Prometheus in your application


Configure Cloud Profiler in your application


Configure Cloud Trace in your application

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