AWS Certified Machine Learning – Specialty — Question 52

A Machine Learning Specialist is using an Amazon SageMaker notebook instance in a private subnet of a corporate VPC. The ML Specialist has important data stored on the Amazon SageMaker notebook instance's Amazon EBS volume, and needs to take a snapshot of that EBS volume. However, the ML Specialist cannot find the Amazon SageMaker notebook instance's EBS volume or Amazon EC2 instance within the VPC.
Why is the ML Specialist not seeing the instance visible in the VPC?

Answer options

• A. Amazon SageMaker notebook instances are based on the EC2 instances within the customer account, but they run outside of VPCs.
• B. Amazon SageMaker notebook instances are based on the Amazon ECS service within customer accounts.
• C. Amazon SageMaker notebook instances are based on EC2 instances running within AWS service accounts.
• D. Amazon SageMaker notebook instances are based on AWS ECS instances running within AWS service accounts.

Correct answer: C

Explanation

The correct answer is C because Amazon SageMaker notebook instances are indeed based on EC2 instances that function within AWS service accounts. Options A and B are incorrect as they misrepresent the relationship between SageMaker and EC2, while option D incorrectly associates SageMaker with ECS instead of EC2.