Databricks - Machine Learning Associate Study Guide

4: Model Deployment

This chapter covers how a trained and registered model becomes a running prediction service on Databricks. It walks through the three serving modalities of batch, real-time, and streaming, then implements each one with `mlflow.pyfunc`, Mosaic AI Model Serving, `spark_udf`, Delta Live Tables, and endpoint traffic splitting for A/B testing.