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You are configuring a CI/CD pipeline in GitLab and want to utilize Directed Acyclic Graph (DAG) pipelines to optimize the execution of independent jobs. You have the following jobs: build, lint, test, and deploy. The deploy job should run only after both build and test jobs have completed successfully, while lint can run in parallel with any other job. How would you configure the .gitlab-ci.yml file to achieve this?
You need to create a GitLab CI/CD pipeline with the following requirements:The build stage compiles the code.The test stage runs unit tests.The integration stage runs integration tests but should only run if the test stage is successful.The deploy stage deploys the application but should only run if both the test and integration stages are successful and only on the production branch.Which of the following .gitlab-ci.yml configurations correctly implements this scenario?
You have a CI/CD pipeline with jobs: compile, unit_test, integration_test, and release. The release job should only run after both compile and integration_test have completed, but the unit_test job can run in parallel with compile. How do you correctly set up the DAG dependencies in your .gitlab-ci.yml file?
You are working on a CI/CD pipeline in GitLab where certain jobs handle sensitive data. To ensure job isolation and security, which configuration should you use?
You are managing a project where multiple teams are working on different microservices, and each team has its own GitLab repository. You want to ensure that all microservices are tested and integrated simultaneously before deploying to production. Which two strategies would be most effective in achieving this using GitLab CI/CD?
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