VPC Security ML Quiz

Quiz covering ML Security

Questions in this quiz

A preview of the 5 questions covered. Start the quiz above to answer them, check your score, and read the explanations.

1. 1

   Which of the following is a primary security benefit of deploying an ML inference service within a Virtual Private Cloud (VPC) rather than on the public internet?

2. 2

   You have an ML training job running in a private subnet that needs to download large datasets from an S3 bucket. Which mechanism provides the most secure way to access this data without traversing the public internet?

3. 3

   An ML model serving API is deployed in a private subnet. You need to allow external applications to call this API without exposing the instance directly to the internet. Which architecture is best suited for this?

4. 4

   When securing ML pipelines, what is the primary difference between a Network ACL (NACL) and a Security Group?

5. 5

   You are auditing a VPC configuration for an ML deployment. You find that the ML inference instances are in a private subnet but have a route to a NAT Gateway that is currently allowing all outbound traffic (0.0.0.0/0). Why is this a potential security risk for ML model integrity?