You are managing a GitLab project that includes three environments: development, staging, and production. You need to ensure that any changes pushed to the develop branch are deployed to the development environment, changes to the staging branch go to the staging environment, and only approved changes from the main branch are deployed to production. How would you set up your GitLab CI/CD pipeline to handle these environment-specific deployments?
You are responsible for deploying a large-scale application that requires different environments for development, staging, and production, all running on Kubernetes clusters. You need to ensure that each environment has its own namespace and deployment strategy within the same pipeline. Which approach would best suit this scenario in GitLab CI/CD?
A DevOps engineer wants to optimize a GitLab CI/CD pipeline using Directed Acyclic Graph (DAG) execution to allow jobs in different stages to run in parallel when there are no explicit dependencies. The engineer writes the following .gitlab-ci.yml configuration:
Which statement best describes how this pipeline will execute?
In a GitLab CI/CD pipeline, you need to execute a script that requires specific environment variables to be set dynamically based on the branch name. How can you configure the job to set these variables?
A DevOps engineer is configuring a GitLab CI/CD pipeline with multiple jobs. They need to ensure that certain jobs execute before others while optimizing the pipeline's efficiency. Which of the following best describes how GitLab determines the order of job execution in a pipeline?