Private Endpoints for ML Services Quiz

5 questions • Pass: 70% • +25 pts

Quiz covering Infrastructure Security

Private Endpoints for ML Services Quiz

5 questions | Pass: 70% | Earn 25 points

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

    What is the primary purpose of using a Private Endpoint for an ML service like Azure Machine Learning or AWS SageMaker?

  2. 2

    When deploying a Private Endpoint for an ML workspace, which DNS configuration is typically required to ensure internal resources can resolve the service's private IP?

  3. 3

    An ML engineer needs to access a private ML workspace from an on-premises environment. Which infrastructure component is required to facilitate this connectivity alongside the Private Endpoint?

  4. 4

    If you have configured a Private Endpoint for your ML Workspace, what happens to the public access by default if 'Public Network Access' is disabled in the workspace settings?

  5. 5

    You are troubleshooting a connection issue where a compute instance inside a VNet cannot reach a storage account protected by a Private Endpoint. What is the most likely cause?