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A financial services enterprise is standardizing on Amazon SageMaker AI for feature engineering and model lifecycle, while Amazon Fraud Detector scores real-time card transactions using model endpoints hosted on SageMaker AI. Data scientists routinely train and tune machine learning (ML) models on highly confidential payment data inside a dedicated VPC. The security team must prevent data exfiltration paths from notebooks, training jobs, and hosted endpoints, especially through public internet routes or unauthorized client locations, without breaking internal access for analysts on the corporate network. Which solution will meet this requirement while minimizing data egress from SageMaker AI? (Select THREE.)

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