Databricks Certified Machine Learning Associate

Validates ability to use the Databricks Data Intelligence Platform to perform foundational machine learning tasks including using Databricks ML capabilities such as AutoML, Unity Catalog, and select MLflow features, exploring data and performing feature engineering, building models through training, tuning, evaluation, and selection, and deploying machine learning models. The exam consists of 48 scored multiple-choice questions over 90 minutes and covers four domains: Databricks Machine Learning (38%), ML Workflows (19%), Model Development (31%), and Model Deployment (12%). All ML code is in Python; SQL may appear for non-ML data manipulation. Recommended: 6+ months of hands-on ML experience.