Network Isolation for ML Quiz

What you'll be asked

1. Which of the following is the primary purpose of placing an ML training cluster within a private subnet?
2. When configuring a Virtual Private Cloud (VPC) endpoint for an ML service like Amazon SageMaker or Google Vertex AI, what is the main security benefit?
3. A data scientist needs to pull training data from an S3 bucket. If the training cluster is in a restricted network, what is the most secure way to facilitate this connection?
4. You are implementing a Bastion Host to manage your ML infrastructure. Which configuration is considered a best practice for security?
5. Your ML pipeline requires egress traffic to a package repository (e.g., PyPI) to install dependencies, but your training nodes are in a strictly isolated subnet. How should you architect this?

Answers and explanations come after you submit.