MLS-C01 · Question #141
MLS-C01 Question #141: Real Exam Question with Answer & Explanation
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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.)
Options
- AConnect to SageMaker by using a VPC interface endpoint powered by AWS PrivateLink.
- BUse SCPs to restrict access to SageMaker.
- CDisable root access on the SageMaker notebook instances.
- DEnable network isolation for training jobs and models.
- ERestrict notebook presigned URLs to specific IPs used by the company.
- FProtect data with encryption at rest and in transit.
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