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Applicants of the Professional-Cloud-DevOps-Engineer test who invest the time, effort, and preparation with updated Professional-Cloud-DevOps-Engineer questions eventually get success. Without the latest Google Cloud Certified - Professional Cloud DevOps Engineer Exam (Professional-Cloud-DevOps-Engineer) exam dumps, candidates fail the test and waste their time and money. As a result, preparing with actual Professional-Cloud-DevOps-Engineer Questions is essential to clear the test.

To prepare for the exam, candidates should have a solid understanding of cloud computing concepts and principles, as well as experience working with Google Cloud Platform services such as Compute Engine, Kubernetes Engine, Cloud Storage, and Cloud Pub/Sub. Additionally, candidates should have experience with DevOps methodologies and tools such as Git, Jenkins, and Ansible.

Google Cloud Certified - Professional Cloud DevOps Engineer Exam Sample Questions (Q156-Q161):

NEW QUESTION # 156
You are reviewing your deployment pipeline in Google Cloud Deploy You must reduce toil in the pipeline and you want to minimize the amount of time it takes to complete an end-to-end deployment What should you do?
Choose 2 answers

A. Divide the automation steps into smaller tasks
B. Add more engineers to finish the manual steps.
C. Automate promotion approvals from the development environment to the test environment
D. Use a script to automate the creation of the deployment pipeline in Google Cloud Deploy
E. Create a trigger to notify the required team to complete the next step when manual intervention is required

Answer: C,E

NEW QUESTION # 157
You need to build a CI/CD pipeline for a containerized application in Google Cloud Your development team uses a central Git repository for trunk-based development You want to run all your tests in the pipeline for any new versions of the application to improve the quality What should you do?

A. 1. Install a Git hook to require developers to run unit tests before pushing the code to a central repository2. Trigger Cloud Build to build the application container Deploy the application container to a testing environment, and run integration tests3. If the integration tests are successful deploy the application container to your production environment. and run acceptance tests
B. 1. Trigger Cloud Build to run unit tests when the code is pushed If all unit tests are successful, build and push the application container to a central registry.2. Trigger Cloud Build to deploy the container to a testing environment, and run integration tests and acceptance tests3. If all tests are successful the pipeline deploys the application to the production environment and runs smoke tests
C. 1. Trigger Cloud Build to build the application container and run unit tests with the container2. If unit tests are successful, deploy the application container to a testing environment, and run integration tests3. If the integration tests are successful the pipeline deploys the application container to the production environment After that, run acceptance tests
D. 1. Install a Git hook to require developers to run unit tests before pushing the code to a central repositoryIf all tests are successful build a container2. Trigger Cloud Build to deploy the application container to a testing environment, and run integrationtests and acceptance tests3. If all tests are successful tag the code as production ready Trigger Cloud Build to build and deploy the application container to the production environment

Answer: B

NEW QUESTION # 158
You are developing the deployment and testing strategies for your CI/CD pipeline in Google Cloud You must be able to
* Reduce the complexity of release deployments and minimize the duration of deployment rollbacks
* Test real production traffic with a gradual increase in the number of affected users You want to select a deployment and testing strategy that meets your requirements What should you do?

A. Rolling update deployment and shadow testing
B. Blue/green deployment and canary testing
C. Rolling update deployment and A/B testing
D. Recreate deployment and canary testing

Answer: B

Explanation:
The best option for selecting a deployment and testing strategy that meets your requirements is to use blue
/green deployment and canary testing. A blue/green deployment is a deployment strategy that involves creating two identical environments, one running the current version of the application (blue) and one running the new version of the application (green). The traffic is switched from blue to green after testing the new version, and if any issues are discovered, the traffic can be switched back to blue instantly. This way, you can reduce the complexity of release deployments and minimize the duration of deployment rollbacks. A canary testing is a testing strategy that involves releasing a new version of an application to a subset of users or servers and monitoring its performance and reliability. This way, you can test real production traffic with a gradual increase in the number of affected users.

NEW QUESTION # 159
You are running an experiment to see whether your users like a new feature of a web application. Shortly after deploying the feature as a canary release, you receive a spike in the number of 500 errors sent to users, and your monitoring reports show increased latency. You want to quickly minimize the negative impact on users.
What should you do first?

A. Trace the origin of 500 errors and the root cause of increased latency.
B. Roll back the experimental canary release.
C. Start monitoring latency, traffic, errors, and saturation.
D. Record data for the postmortem document of the incident.

Answer: B

NEW QUESTION # 160
Your product is currently deployed in three Google Cloud Platform (GCP) zones with your users divided between the zones. You can fail over from one zone to another, but it causes a 10-minute service disruption for the affected users. You typically experience a database failure once per quarter and can detect it within five minutes. You are cataloging the reliability risks of a new real-time chat feature for your product. You catalog the following information for each risk:
* Mean Time to Detect (MUD} in minutes
* Mean Time to Repair (MTTR) in minutes
* Mean Time Between Failure (MTBF) in days
* User Impact Percentage
The chat feature requires a new database system that takes twice as long to successfully fail over between zones. You want to account for the risk of the new database failing in one zone. What would be the values for the risk of database failover with the new system?

A. MTTD: 5MTTR: 10MTBF: 90Impact: 33%
B. MTTD:5MTTR: 20MTBF: 90Impact: 50%
C. MTTD:5MTTR: 10MTBF: 90Impact 50%
D. MTTD:5MTTR: 20MTBF: 90Impact: 33%

Answer: D

NEW QUESTION # 161
......

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Professional-Cloud-DevOps-Engineer Exam Dumps Collection - Professional-Cloud-DevOps-Engineer Test Questions Fee

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Google Cloud Certified - Professional Cloud DevOps Engineer Exam Sample Questions (Q156-Q161):

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