Lakehouse Monitoring provides automated profiling and a dashboard that visualizes trends and anomalies over time. Track key metrics such as data volume, percent nulls, numerical distribution changes, and categorical distribution. For inference tables, you can monitor model drift and performance metrics like accuracy, F1 score, precision and recall to determine when retraining is needed.