This repository is a curated collection of study materials for the Chinese System Architect Designer exam (a software architect certification). It provides links to video tutorials, teaching materials, past papers, and exam resources, along with historical passing scores from study groups. The project is actively maintained, with regular updates to reflect the latest exam schedules, syllabus changes, and resource links. The repository does not contain any source code or data processing pipelines. Instead, it functions as a static data repository, hosting markdown files that record passing scores from various study groups (2019-2021) and an update log detailing the addition of new resources. The core value lies in the organized aggregation of external study materials and the community-driven collection of exam results. While the project lacks reusable data engineering components (such as ETL scripts or data validation routines), it demonstrates consistent maintenance and responsiveness to changes in the exam landscape. The data stored within the repository (primarily the group pass records and update log) is version-controlled and accessible, though users must rely on external links for the majority of study materials, which are kept up to date by the maintainer.
This repository is a collection of hands-on practice labs for the Certified Kubernetes Administrator (CKA) exam. It is not a software application or data pipeline but a study resource consisting of bash scripts and Kubernetes YAML manifests. Each lab (Question-*) contains a LabSetUp.bash that creates a realistic cluster scenario, a Questions.bash describing the task, and a SolutionNotes.bash with step-by-step solutions. The scripts/run-question.sh orchestrates setup and display. The code is straightforward and functional, with no complex architecture or reusable components beyond the lab context. It relies on a running Kubernetes cluster (e.g., Killercoda) and standard tools like kubectl and helm. The repo is actively maintained (last commit dated 2026-05-12, though this may be a data anomaly) and has low technical drift, using recent Kubernetes versions and practices.
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.