312-97 Exam Dumps : EC-Council Certified DevSecOps Engineer (ECDE)

Change lead time measures the duration between a code commit and its successful deployment into production. This metric tracks how efficiently new features, bug fixes, and changes move through development, testing, and release stages. It is a key DevSecOps performance indicator used to assess pipeline efficiency and the effectiveness of automation and security integration. Mean time to recovery focuses on restoring service after incidents, change volume measures the number of changes rather than delivery speed, and time to value is a broader business metric. Change lead time directly reflects how well DevSecOps practices enable rapid yet secure delivery, making it the correct metric for measuring commit-to-production flow across all phases.

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GitLab CI/CD pipelines are defined using a configuration file namedgitlab-ci.yml, which must be placed in the root directory of the repository. This file controls pipeline stages, jobs, and template inclusions. To integrate Checkmarx SCA using a predefined template, the template reference must be included in the root-level gitlab-ci.yml file so GitLab can load and execute the defined jobs automatically. The other filenames listed in the options are not recognized by GitLab as valid pipeline configuration files. Integrating SCA at the Code stage allows early detection of vulnerable open-source dependencies, reducing remediation cost and preventing insecure components from progressing further in the DevSecOps pipeline.

When working inside an interactive Docker container session, the container continues running as long as its primary foreground process is active. Executing the exit command terminates the shell session, which in turn stops the container if no other foreground processes are running. The kill command requires a process identifier and is not used in this context, while clear simply clears the terminal screen and does not affect container execution. The stop command is not a valid shell command inside a container. Properly stopping containers during the Operate and Monitor stage helps free system resources, prevent unintended service exposure, and maintain a clean runtime environment. This practice aligns with container lifecycle management best practices and reduces operational risk.

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