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Which measures are recommended on AWS to protect the confidentiality of machine learning models and training data?
①Save the model and data as plain text and do not retain access logs.
②Do not perform encryption; instead, implement only IP restrictions.
③Enable KMS encryption when storing data in S3 or EBS, and enforce least-privilege access using IAM roles.
④Put the model in a public repository so that anyone can access it.
⑤Manage encryption keys by embedding them in the application code.