AWS Certified Machine Learning - Specialty MLS-C01 — Topic 1 Question 131

Question

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.)

Accepted Answer

Correct answer: A, D, E. The correct answer is A, D, E. Option A: Connect to SageMaker by using a VPC interface endpoint powered by AWS PrivateLink. Option D: Enable network isolation for training jobs and models. Option E: Restrict notebook presigned URLs to specific IPs used by the company. AWS PrivateLink exposes services privately inside the VPC without internet exposure. Amazon SageMaker builds, trains and deploys machine learning models in a fully managed service.

AWS Certified Machine Learning - Specialty MLS-C01 — Question 131