- 205 Actual Exam Questions
- Compatible with all Devices
- Printable Format
- No Download Limits
- 90 Days Free Updates
Get All Professional Cloud DevOps Engineer Exam Questions with Validated Answers
| Vendor: | |
|---|---|
| Exam Code: | Professional-Cloud-DevOps-Engineer |
| Exam Name: | Professional Cloud DevOps Engineer |
| Exam Questions: | 205 |
| Last Updated: | October 5, 2026 |
| Related Certifications: | Google Cloud Certified |
| Exam Tags: | advanced-level DevOps engineers |
Looking for a hassle-free way to pass the Google Professional Cloud DevOps Engineer exam? DumpsProvider provides the most reliable Dumps Questions and Answers, designed by Google certified experts to help you succeed in record time. Available in both PDF and Online Practice Test formats, our study materials cover every major exam topic, making it possible for you to pass potentially within just one day!
DumpsProvider is a leading provider of high-quality exam dumps, trusted by professionals worldwide. Our Google Professional-Cloud-DevOps-Engineer exam questions give you the knowledge and confidence needed to succeed on the first attempt.
Train with our Google Professional-Cloud-DevOps-Engineer exam practice tests, which simulate the actual exam environment. This real-test experience helps you get familiar with the format and timing of the exam, ensuring you're 100% prepared for exam day.
Your success is our commitment! That's why DumpsProvider offers a 100% money-back guarantee. If you don’t pass the Google Professional-Cloud-DevOps-Engineer exam, we’ll refund your payment within 24 hours no questions asked.
Don’t waste time with unreliable exam prep resources. Get started with DumpsProvider’s Google Professional-Cloud-DevOps-Engineer exam dumps today and achieve your certification effortlessly!
You support a web application that is hosted on Compute Engine. The application provides a booking service for thousands of users. Shortly after the release of a new feature, your monitoring dashboard shows that all users are experiencing latency at login. You want to mitigate the impact of the incident on the users of your service. What should you do first?
Rollback to previous stable version. Then you need to find what is causing the issue.
You are investigating issues in your production application that runs on Google Kubernetes Engine (GKE). You determined that the source Of the issue is a recently updated container image, although the exact change in code was not identified. The deployment is currently pointing to the latest tag. You need to update your cluster to run a version of the container that functions as intended. What should you do?
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?
Comprehensive and Detailed
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
You are implementing a CI'CD pipeline for your application in your company s multi-cloud environment Your application is deployed by using custom Compute Engine images and the equivalent in other cloud providers You need to implement a solution that will enable you to build and deploy the images to your current environment and is adaptable to future changes Which solution stack should you use'?
Cloud Build is a fully managed continuous integration and continuous delivery (CI/CD) service that helps you automate your builds, tests, and deployments. Google Cloud Deploy is a service that automates the deployment of your applications to Google Kubernetes Engine (GKE).
Together, Cloud Build and Google Cloud Deploy can be used to build and deploy your application's custom Compute Engine images to your current environment and to other cloud providers in the future.
Here are the steps involved in using Cloud Build and Google Cloud Deploy to implement a CI/CD pipeline for your application:
Create a Cloud Build trigger that fires whenever a change is made to your application's code.
In the Cloud Build trigger, configure Cloud Build to build your application's Docker image.
Create a Google Cloud Deploy configuration file that specifies how to deploy your application's Docker image to GKE.
In Google Cloud Deploy, create a deployment that uses your configuration file.
Once you have created the Cloud Build trigger and Google Cloud Deploy configuration file, any changes made to your application's code will trigger Cloud Build to build a new Docker image. Google Cloud Deploy will then deploy the new Docker image to GKE.
This solution stack is adaptable to future changes because it uses a cloud-agnostic approach. Cloud Build can be used to build Docker images for any cloud provider, and Google Cloud Deploy can be used to deploy Docker images to any Kubernetes cluster.
The other solution stacks are not as adaptable to future changes. For example, solution stack A (Cloud Build with Packer) is limited to building Docker images for Compute Engine. Solution stack C (Google Kubernetes Engine with Google Cloud Deploy) is limited to deploying Docker images to GKE. Solution stack D (Cloud Build with kpt) is a newer solution that is not yet as mature as Cloud Build and Google Cloud Deploy.
Overall, the best solution stack for implementing a CI/CD pipeline for your application in a multi-cloud environment is Cloud Build with Google Cloud Deploy. This solution stack is fully managed, cloud-agnostic, and adaptable to future changes.
You are running an application on Compute Engine and collecting logs through Stackdriver. You discover that some personally identifiable information (PII) is leaking into certain log entry fields. You want to prevent these fields from being written in new log entries as quickly as possible. What should you do?
Security & Privacy
Satisfied Customers
Committed Service
Money Back Guranteed