ML model monitoring happens on two levels: functional and operational.Functional monitoring focuses on assessing the accuracy of the model. It also involves conducting regular tests and validation to ensure the model’s predictions align with the expected outcomes.Operational monitoring, on the other hand, involves tracking the model’s behavior and performance in the production environment. This includes watching over resource utilization, response time, and error rates to identify any anomalies or deviations from the expected behavior.