This project contains examples of test questions and answers that can be used during an interview or exam for positions such as *nix System Administrator.
Resource for testing and improving Linux Sysadmin knowledge.
The repository provides a collection of Linux Sysadmin Test Questions and Answers intended to test knowledge and skills across various fields.
Assessment and Interview Preparation: It contains 284 test questions and answers designed for use as self-knowledge tests or during interviews/exams for positions such as Linux (*nix) System Administrator.
Structured Learning: The questions are categorized by complexity and knowledge level:
Simple Questions (14 total) are relaxed and fun, great for starting.
General Knowledge sections are tiered: Junior Sysadmin (65 questions), Regular Sysadmin (94 questions), and Senior Sysadmin (99 questions).
Secret Knowledge features Guru Sysadmin questions (12 total), which are described as "really deep questions".
Comprehensive Topics: The questions cover core domains relevant to sysadmin work, including System Questions, Network Questions, and queries related to DevOps and Cyber Security.
Supplementary Resources: The answers provided are primarily examples and do not cover the whole topic exhaustively. Importantly, most entries include useful resources for achieving a deeper understanding.
Platform and License: The resource is hosted on GitHub and is released under the MIT license.
Community Contribution: The project encourages community involvement. Users are invited to make a pull request to contribute answers or valid, well-reasoned explanations for questions that are incomplete or marked with a warning symbol ( or ******).
Scalability of Topic Search: The platform supports searching code, repositories, users, issues, and pull requests, and provides search syntax tips and saved searches for quick filtering.
While the core functionality is the Q/A content, the platform itself offers modern development features:
AI/Security Tools: Includes GitHub Copilot (for writing better code with AI), GitHub Spark (for building intelligent apps), GitHub Models (for managing prompts), and GitHub Advanced Security (for finding and fixing vulnerabilities).
Workflow Automation: Provides Actions to automate workflows and Codespaces for instant development environments.
Collaboration: Features for Issues (planning and tracking work), Code Review (managing changes), and Discussions (collaborating outside of code).