A deployed SageMaker model endpoint must trigger alerts when data-quality issues occur in production. Which configuration will provide such alerts?

SageMaker Model Monitor is specifically designed to detect data quality, model quality, bias, and explainability drift in production. It continuously analyzes the data flowing into and out of your SageMaker endpoints. When Model Monitor detects deviations from a baseline, it publishes metrics to Amazon CloudWatch. You can then configure CloudWatch Alarms on these metrics to trigger Amazon SNS notifications, sending alerts to relevant teams. The other options are incorrect because: Creating a CloudWatch metric alarm directly without Model Monitor would require custom metrics for data quality, which Model Monitor automates. SageMaker Clarify is primarily for bias detection and explainability during development or for one-off analysis, not continuous production monitoring. SageMaker Data Wrangler is for data preparation and feature engineering, not for real-time production monitoring and alerting on data quality issues in a deployed model.