Databricks Machine Learning Study Guide — Machine Learning Associate

Databricks Machine Learning – ML Associate Study Guide

This domain accounts for 38% of the exam — the largest section — and covers the Databricks Machine Learning platform: ML-optimized compute, AutoML, the Feature Store, and MLflow (Tracking and the Model Registry).

Compute: the ML Runtime

Select the Databricks Runtime for Machine Learning to get popular ML libraries (scikit-learn, TensorFlow, PyTorch, XGBoost) preinstalled and optimized, instead of installing them manually on a standard runtime.

AutoML

Databricks AutoML automatically trains and evaluates multiple models to produce a baseline quickly — ideal for a fast feasibility check. Its key benefit: it generates editable notebooks (with the preprocessing and training code) plus a leaderboard of trials, each linked to its MLflow run, so the best model is never a black box.