A Linux systems administrator is exploring ways to integrate Artificial Intelligence (AI) into their daily tasks to improve efficiency and code quality. According to the principle of responsible AI use, which of the following represents a common and appropriate use case for an AI assistant in a Linux environment?
Uploading the company's entire collection of private SSH keys to a public Large Language Model (LLM) to identify weak keys.
Generating a sed command with a regular expression to parse and reformat entries in a log file.
Granting an AI tool root access to autonomously perform system updates and configuration changes across the production environment.
Replacing the git version control system with a proprietary AI model that predicts and automatically commits code changes.
The correct answer is the generation of a sed command with a regular expression. This is a prime example of a common and highly effective use case for AI in system administration. AI tools excel at generating code, scripts, and complex regular expressions based on natural language descriptions, which saves time and reduces human error for tedious tasks.
The other options are incorrect because they represent irresponsible or impractical applications of AI. Granting an AI tool autonomous root access to production systems is a significant security risk that bypasses the critical best practice of human review and oversight. Using an AI to replace a fundamental, established tool like git with a predictive model is not a recognized or practical use case. Finally, uploading sensitive data like private SSH keys to a public LLM is a severe data governance and security violation.
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Automation, Orchestration, and Scripting
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