Databricks - Machine Learning Associate

This certification validates a candidate's ability to use Databricks to perform basic machine learning tasks. The exam tests knowledge of Databricks Machine Learning tooling, including AutoML, Feature Engineering in Unity Catalog, and select MLflow features (tracking, the MLflow Client API, and the Unity Catalog model registry), along with exploratory data analysis, feature engineering, model development (algorithm selection, hyperparameter tuning with Hyperopt, cross-validation, and evaluation metrics), and model deployment across batch, real-time, and streaming approaches. Candidates are expected to read and write machine learning code in Python using scikit-learn, Spark ML, Hyperopt, MLflow, and pandas.