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Exam Professional-Cloud-DevOps-Engineer All Questions
Exam Professional-Cloud-DevOps-Engineer All Questions

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Google Cloud DevOps Engineer Professional-Cloud-DevOps-Engineer Question # 16 Topic 2 Discussion

Professional-Cloud-DevOps-Engineer Exam Topic 2 Question 16 Discussion:
Question #: 16
Topic #: 2

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 repository

2. Trigger Cloud Build to build the application container Deploy the application container to a testing environment, and run integration tests

3. If the integration tests are successful deploy the application container to your production environment. and run acceptance tests


B.

1. Install a Git hook to require developers to run unit tests before pushing the code to a central repository

If all tests are successful build a container

2. Trigger Cloud Build to deploy the application container to a testing environment, and run integration

tests and acceptance tests

3. If all tests are successful tag the code as production ready Trigger Cloud Build to build and deploy the application conta


C.

1. Trigger Cloud Build to build the application container and run unit tests with the container

2. If unit tests are successful, deploy the application container to a testing environment, and run integration tests

3. If the integration tests are successful the pipeline deploys the application container to the production environment After that, run acceptance tests


D.

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 tests

3. If all tests are successful the pipeline deploys the application to the production environment and runs smoke tests


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