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You are working at a hospital and have received approval to collect patient data for machine learning purposes. Using this data, you trained a Vertex AI tabular AutoML model to predict patient risk scores for hospital admissions. The model has been deployed, but you are concerned that over time, changes in patient demographics might alter the relationships between features, potentially affecting prediction accuracy. To address this, you need a cost-effective way to monitor for such changes and understand feature importance in the predictions. What should you do?