In the field of machine learning (ML) engineering for production ML deployments with TensorFlow Extended (TFX), there are three types of production ML scenarios based on the rate of change in ground truth and data. These scenarios are known as static, dynamic, and evolving ML scenarios. 1. Static ML Scenarios: In a static ML scenario,