This is a Go CLI tool that scrapes certification exam questions and answers from the examtopics.com website, which is otherwise paywalled or requires manual browsing. The tool accepts a provider (e.g., google, cisco) and a search string to filter exams, then fetches all discussion pages, extracts question data (text, choices, community-voted answer, timestamp, comments), and outputs the results in Markdown, JSON, HTML, PDF, or plain text. It includes optional caching via a GitHub repository of pre-scraped data, rate limiting, retry logic, and concurrent request concurrency. The architecture is a single-binary monolith with internal packages for fetching, scraping, and file output. The code is functional but unremarkable—standard Go patterns with some concurrency, though the global counter and finalizer usage are minor anti-patterns.
This repository is a crowdsourced collection of quiz questions and answers for LinkedIn skill assessments across dozens of technical domains (programming languages, frameworks, cloud platforms, design tools, etc.). The data is organized into topic directories, each containing a markdown file with multiple-choice questions, correct answers marked, and occasional reference links. Translations into multiple languages are provided. The repository includes a Python script (translate.py) for automated translation using Google Translate. The primary purpose is as a study aid for job seekers and interview preparation. The content is static and not actively maintained, leading to potential inaccuracies for current software versions. It is not an application or data pipeline but rather a curated knowledge base.