SAFE DevOps Practitioner (SDP) Practice Exam 2025 – Your Comprehensive Guide to Mastering DevOps Certification!

The concept that emphasizes version control and automation in DevOps is Pipeline as Code. This approach allows for the entire continuous delivery pipeline, including build, test, and deployment processes, to be defined and managed using code. By treating the pipeline as code, teams can version-control their pipeline configurations and scripts, enabling better collaboration, traceability, and reproducibility.

Version control in Pipeline as Code integrates seamlessly with existing version control systems, providing a structured way to iterate on workflows and manage changes to the pipeline over time. Automation is also a key aspect, as it allows for consistent and repeatable builds and deployments without manual intervention. This leads to faster delivery of new features and fixes, enhancing the overall efficiency of the development process.

In contrast, while Continuous Integration also promotes automation, its primary focus is on the integration of code changes from multiple contributors into a shared repository frequently. This ensures that team members' changes are tested and integrated regularly but does not specifically encompass the broader pipeline management aspect.

Infrastructure as Code is an approach to managing infrastructure that treats configurations as code, which supports automation and version control but is not specifically about managing the CI/CD pipeline itself.

Service Level Agreement, while important in defining expected service performance between service providers and customers, does not directly relate