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A healthcare organization has deployed a predictive ML model in production using Amazon SageMaker. To ensure the model's performance, the organization has enabled SageMaker Model Monitor to track data quality. After recent update to the model, a data scientist observes data quality issues flagged by Model Monitor checks. What steps should the data scientist take to address the data quality issues identified by Model Monitor?