Databricks Machine Learning Associate (ML-ASSOC)

This section targets ML-ASSOC, the Databricks Machine Learning Associate exam. The focus is platform-first machine learning work on Databricks: feature engineering, training and evaluation basics, MLflow tracking, and model lifecycle concepts. The strongest answers on this exam usually come from understanding reproducibility, leakage avoidance, and what each MLflow layer actually stores.

Use the cheat sheet for high-yield MLflow and evaluation review. Use the FAQ for study expectations and common weak spots, and use the resources page when you need official Databricks references.

In this section

• 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 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.