{"repo":"Galius5136/databricks-spark-3.5-cert-prep","free":true,"listed":false,"github":"https://github.com/Galius5136/databricks-spark-3.5-cert-prep","clone":"git clone https://github.com/Galius5136/databricks-spark-3.5-cert-prep.git","description":"Study system for the Databricks Certified Associate Developer for Apache Spark 3.5 exam. 5 interconnected Claude Code skills covering all 7 exam sections, with sources linked to Apache Spark 3.5 docs and Damji's Learning Spark 2nd Edition.","language":null,"stars":12,"topics":["agent-skills","apache-spark","certification","claude-code","databricks","exam-prep","pyspark","spark","spark-connect","study-guide"],"license":"MIT","category":"databases-storage","readme_excerpt":"databricks-spark-3.5-cert-prep A study system for the Databricks Certified Associate Developer for Apache Spark 3.5 exam (Python track), built as a set of Claude Code / agent skills. What this is 5 interconnected agent skills that together cover every objective on the Oct 2025 exam guide: Skill Coverage Anchor --- --- --- apache-spark Exam Sections 1–5 (Architecture, DataFrames, Spark SQL, Tuning, Structured Streaming) Learning Spark 2nd Edition (Damji et al.) — Spark 3.0 baseline + 3.5 extensions for date functions, accumulators, broadcast variables, logging spark-connect Exam Section 6 (Spark Connect) Apache Spark 3.5 official docs pandas-on-spark Exam Section 7 objective 1 (Pandas API on Spark advantages) Apache Spark 3.5 official docs spark-3.5-updates Exam Section 7 objective 2 (Pandas UDF) + new built-ins 3.3–3.5 (Sec 3) + AQE evolution (Sec 4) Apache Spark 3.5 official docs + Databricks engineering blog spark-cert-3.5 Meta-orchestrator that coordinates the 4 sub-skills (workflows: study / quiz / mock-exam / progress / weak-spots / gap-check) — Each sub-skill follows the same structure: How to use As Claude Code skills Symlink or copy skills/ / into your /.claude/skills/ directory. The skills auto-register and become invocable by name. Recommended workflow (via the meta-skill): The orchestrator writes session state to /spark-cert/progress.md (template provided as progress.template.md ). As plain study material The markdown files are readable on their own. Start from eac","default_branch":null,"files":null,"tree":[],"storefront":"/r/Galius5136","claimed":false,"request_supported":{"post":"https://gitbuyer.com/r/Galius5136/databricks-spark-3.5-cert-prep/request-supported","requests":0},"note":"indexed from public GitHub; nothing is for sale on this page. Clone it from GitHub. Paid listings live at /search."}