A Linux administrator uses a public AI assistant to generate a complex shell script for automating nightly database backups and log rotation. The AI provides a complete script that appears functional. According to responsible AI usage best practices, what is the administrator's most critical next step?
Ask the AI assistant to generate detailed, line-by-line documentation for the script before doing anything else.
Thoroughly review the script for security vulnerabilities and logical errors, then test it in a sandboxed environment.
Immediately implement the script in the production environment to meet the automation deadline.
Prompt the AI to refactor the script for better performance without first testing the original version.
The correct answer is to thoroughly review and test the AI-generated script in a non-production environment. AI-generated code, especially from public models, can contain security vulnerabilities, logical errors, or use outdated or inefficient methods. Directly running the script, especially with elevated privileges, poses a significant security risk. The most critical best practice is to treat AI-generated code as untrusted and to perform rigorous human review and testing before deployment. While asking the AI for documentation or refactoring are potential steps, they should only occur after the code has been validated by a human expert. Immediately implementing the script without review is reckless and violates fundamental security and operational best practices.
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CompTIA Linux+ XK0-006 (V8)
Automation, Orchestration, and Scripting
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