A financial services company wants to adopt Amazon SageMaker as its default data science environment. The company's data scientists run machine learning
(ML) models on confidential financial data. The company is worried about data egress and wants an ML engineer to secure the environment.
Which mechanisms can the ML engineer use to control data egress from SageMaker? (Choose three.)
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