A BigQuery capability for creating, training, and using machine learning models with standard SQL (CREATE MODEL, ML.PREDICT), right where the data lives and without moving data or coding in Python.
In CDL it appears as the way for analysts who already know SQL to use ML: churn prediction, demand forecasting (ARIMA_PLUS), classification. Question: SQL analysts with no Python experience want predictions from data already in BigQuery → BigQuery ML.
BigQuery ML is a concept that can show up on the exam. Check the full guide to see it in context.