Databricks Certified Machine Learning Associate (ML-ASSOC) — Study Hub

Meet your Databricks Machine Learning Associate (ML‑ASSOC) home base. This hub is built for the skills ML‑ASSOC rewards: building ML workflows on the Databricks platform (data prep, training, experiment tracking, and model lifecycle with MLflow).

What you’ll find here

• Overview: what’s tested, who it’s for, and how to prepare efficiently.
• Study Plan: 30/60/90‑day schedules with weekly focus + practice integration.
• Syllabus: objective-by-objective breakdown organized by topic with quick links to drills.
• Cheatsheet: high-yield MLflow + feature engineering + training/evaluation tables for last‑mile review.
• Practice: topic drills and mixed sets to build pacing.
• FAQ: common questions on prerequisites, difficulty, and strategy.
• Resources: official Databricks ML and MLflow docs.
• Updates: content changes and syllabus mapping updates.

What ML‑ASSOC emphasizes (in one paragraph)

Expect scenario questions about building ML workflows with MLflow (tracking, runs, artifacts, registry), practical feature engineering on Spark, and choosing evaluation approaches that match the problem. This exam is platform-focused: it rewards candidates who can operationalize experiments and model handoff, not pure ML theory.

Ready to drill now? Open Practice →

In this section

• ML-ASSOC Cheatsheet — MLflow, Features, Training & Evaluation on Databricks
  Last-mile ML-ASSOC review: feature engineering patterns, train/test discipline, MLflow tracking and registry concepts, and evaluation pickers. Includes code snippets, tables, and diagrams.
• ML-ASSOC FAQ — Databricks Machine Learning Associate Questions Answered
  Common ML-ASSOC questions answered: prerequisites, what to focus on (MLflow, features, evaluation), how long to study, and how to practice effectively.
• ML-ASSOC Overview — What’s Tested, Common Traps & How to Prepare
  Everything to know before the Databricks Machine Learning Associate (ML-ASSOC) exam: platform focus areas (MLflow, feature engineering, training), common traps, and a practical prep funnel.
• ML-ASSOC Practice — Topic Drills & Mixed Sets
  Open the practice app for Databricks Machine Learning Associate (ML-ASSOC). Start with topic drills, then move to mixed sets to build exam pacing.
• ML-ASSOC Resources — Official Databricks ML and MLflow Docs
  Official resources for Databricks Machine Learning Associate (ML-ASSOC): certification pages, Databricks ML docs, and MLflow documentation.
• ML-ASSOC Study Plan (30 / 60 / 90 Days)
  A practical ML-ASSOC study plan you can follow: 30-day intensive, 60-day balanced, and 90-day part-time schedules with weekly focus, suggested hours/week, and MLflow-first practice tips.
• ML-ASSOC Syllabus — Learning Objectives by Topic
  Blueprint-aligned learning objectives for Databricks Machine Learning Associate (ML-ASSOC), organized by topic with quick links to targeted practice.
• ML-ASSOC Updates — Blueprint & Content Changes
  Track changes to the ML-ASSOC study hub: syllabus mapping, cheat sheet refinements, practice coverage, resources, and copy updates.