v1.0.0 — Initial public release

What's in the box

First tagged release of the open-sourced Databricks Certification Study Guide. Covers six Databricks certifications, each refreshed to the latest official exam blueprint (Oct 2025 – Mar 2026).

Certifications covered

Certification	Blueprint date	Domains
Data Engineer Associate	May 2026 refresh	6
Data Engineer Professional	Nov 30, 2025	10
Data Analyst Associate	Oct 2025	9
ML Associate	Mar 1, 2025	4
ML Professional	Sep 2025	3
GenAI Engineer Associate	Mar 2026	6

Content

• 183 topic content files structured 1:1 with each official domain
• 573 mock-exam questions across 12 full mock exams (2 per cert), with answer keys + per-question debrief tables mapping every question to a topic file + cheat sheet
• 36 practice-question files for spaced repetition between mocks
• 6 hands-on labs in labs/ (medallion ingestion, Unity Catalog setup, Lakeflow Declarative Pipelines, MLflow tracking, Mosaic AI RAG)
• 6 cert-specific final-review files — 20-minute exam-morning cram scans
• 16 fundamentals + 13 cheat sheets + 16 interview-prep files in shared/

Engineering hygiene

• CI: markdownlint + lychee internal-link integrity on every PR
• Branch protection on main: linear history, squash-merge only, force-push and deletion blocked
• 4-round PR review process documented in CONTRIBUTING.md
• MIT License, CODE_OF_CONDUCT.md (Contributor Covenant 2.1), CONTRIBUTORS.md, PR + issue templates

Currency

Every cert tracks its current Databricks exam-guide PDF and cites the version date in the cert README. A documented currency policy in CLAUDE.md codifies the refresh workflow for future blueprint updates.

Get started

• Browse the top-level README for the certification overview
• Pick a cert: certifications/<cert>/README.md
• Or start with a learning path

Contributing

See CONTRIBUTING.md. Open-source contributions welcome — every merged PR earns an entry in CONTRIBUTORS.md.

Full changelog: see CHANGELOG.md for per-PR notes since the open-source release.