Spark cert 3.5

Skill Galius5136/databricks-spark-3.5-cert-prep/skills/spark-cert-3.5

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.

Install

npx -y skills add Galius5136/databricks-spark-3.5-cert-prep --skill spark-cert-3.5

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Meta-skill orchestrator for preparing the Databricks Certified Associate Developer for Apache Spark 3.5 exam (Python). Coordinates the sub-skills apache-spark, spark-connect, pandas-on-spark, and spark-3.5-updates. Activates on requests like "let's study Spark", "review <topic>", "quiz on <topic>", "mock exam", "what do I still need to study", "weak spots", "progress check".

SKILL.md

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spark-cert-3.5 — Study Orchestrator

Purpose

Coordinate the underlying Spark sub-skills for effective, exam-targeted study of the Databricks Certified Associate Developer for Apache Spark 3.5. Track study progress. Generate practice material.

Sub-skills consulted

apache-spark: Damji book "Learning Spark, 2nd Edition" (Spark 3.0 baseline) → ch01–ch12
spark-connect: exam Section 6
pandas-on-spark: exam Section 7 (Pandas API on Spark)
spark-3.5-updates: built-ins added in 3.1–3.5, AQE evolution post-3.0, Pandas UDF / Arrow APIs

Exam topic map

Sec	Topic	Primary source	Secondary
1	Architecture & Components	apache-spark/ch01, ch02	—
2	DataFrame API basics	apache-spark/ch03, ch04	—
3	DataFrame transformations + built-ins	apache-spark/ch05	spark-3.5-updates (new built-ins)
4	Performance & tuning	apache-spark/ch07, ch12	spark-3.5-updates (AQE post-3.0)
5	Structured Streaming	apache-spark/ch08	—
6	Spark Connect	spark-connect (only)	—
7	Pandas API on Spark + Pandas UDF	pandas-on-spark + spark-3.5-updates	apache-spark/ch05 (baseline)

State file

Persistent state in ~/spark-cert/progress.md. Update at every session.

Workflows

study <topic>

Identify section/topic from the exam topic map.
Consult the primary source plus any secondary source.
Produce output:
- Concept (concise)
- Code example (runnable)
- 2 exam-style multiple-choice questions (4 options each)
- 1 trap question (tests a common misconception)
Wait for the user's answers.
Explain mistakes, update progress.md (coverage % and weak spots when answers are wrong).

quiz <topic> | quiz random

5–10 exam-style questions on the given topic, or random from the full syllabus.
Format: stem + 4 options + correct answer + explanation.
Track score in progress.md session log.

mock-exam

45 questions distributed by syllabus weight.
Indicative time limit: 90 minutes.
Explicit caveat: this does NOT replace external mocks (Udemy / ExamTopics).
Score + per-section breakdown.
Identify weak sections and suggest follow-up study sessions.

progress

Show current state from progress.md.
Highlight: overall coverage %, completed vs pending sections, top 3 weak spots.

weak-spots

List topics with low quiz scores or explicitly flagged.
For each weak spot: focused practice (3 targeted questions).

gap-check

For each exam-guide objective, confirm at least one sub-skill covers it.
Identify orphan objectives → suggest an external resource.

Operating rules

Output language: English throughout (concepts, explanations, quizzes, code).
Version awareness: everything is anchored to Spark 3.5. When a sub-skill cites Spark 3.0 (book baseline), verify the delta in spark-3.5-updates.
No duplication: when a topic appears in spark-3.5-updates as a delta over apache-spark, cite both with cross-links — do not duplicate content.
Concise default: keep explanations brief and dense. Expand only on explicit request ("explain more", "go deeper").
Honest signaling: when a topic has weak coverage in the skills, say so explicitly.

Anti-patterns

Do not explain a topic without first consulting the relevant sub-skill.
Do not invent questions on topics not covered by the sub-skills.
Do not update progress.md without confirming with the user what was studied.
Do not generate a mock exam without the limits caveat.

Examples

User: "Let's study save modes" → Sec 2 → apache-spark/ch04 → explain the 4 modes → code example → 2 exam-Qs → 1 trap → update progress

User: "Quiz on AQE" → Sec 4 → apache-spark/ch12 + spark-3.5-updates → 5 questions mixing basics with post-3.0 additions → score

User: "What do I still need to study?" → progress → coverage + 3 top weak spots → suggest the next session