4.2 Cloud/hybrid Solutions Based on Business-Critical Operations 400-007 Practice Questions (Page 2)

Questions 6–10

1. 6foundation · easy

   What is a common requirement for serving AI/ML models in production?

   • AA physical firewall per model
   • BA dedicated mainframe
   • CModel serving infrastructure with low latency
   • DA separate network for each model
   Reveal Solution Discussion Select an answer first
2. 7foundation · easy

   What is a common method to protect data in transit in a cloud environment?

   • AData masking
   • BTokenization
   • CHashing
   • DTLS/SSL encryption
   Reveal Solution Discussion Select an answer first
4. 8application · medium

   A hospital is deploying an AI model to predict patient readmission risk. The model uses patient health data, which is subject to HIPAA. The hospital plans to use a cloud-based ML platform. Which governance control is essential to ensure compliance?

   • AEnsure the ML platform is HIPAA-eligible and sign a BAA with the cloud provider.
   • BDeploy the model on-premises only to avoid cloud compliance issues.
   • CUse a cloud provider that automatically encrypts all data at rest and in transit.
   • DUse only de-identified data for training and inference.
   Reveal Solution Discussion Select an answer first
5. 9foundation · easy

   Which mechanism allows a customer to enforce control over the data lifecycle in a SaaS application?

   • AFirewall rules
   • BVirtual private cloud
   • CData export and deletion APIs
   • DLoad balancer configuration
   Reveal Solution Discussion Select an answer first
6. 10foundation · easy

   Which practice is essential for AI/ML governance to ensure data privacy?

   • AStoring data indefinitely
   • BAllowing unrestricted model access
   • CPublishing all training data publicly
   • DAnonymizing personal data used in training
   Reveal Solution Discussion Select an answer first