You are a data scientist at a healthcare company aws video

Full Certification Question

You are a data scientist at a healthcare company that has deployed a machine learning model to predict patient readmission rates. The model plays a crucial role in optimizing patient care and managing hospital resources. After several months in production, the medical team has noticed that the model’s predictions seem less accurate than before, leading to concerns about data quality and model performance. To ensure that the model continues to deliver reliable predictions, you need to implement techniques to monitor both data quality and model performance continuously. Which of the following approaches is the MOST EFFECTIVE for monitoring data quality and model performance in this scenario?