3.2 Describe Approaches to Protect Corporate Data Privacy and Security in AI Systems AI-TECHNICAL-PRACTITIONER Practice Questions (Page 4)

Questions 16–19

1. 16application · medium

   A financial services firm is training an AI model to detect fraudulent transactions. The training dataset contains customer transaction histories, including account numbers and merchant details. The security team wants to ensure that if the dataset is exfiltrated, the data remains unreadable. Which security measure should the team implement?

   • AAnonymize the account numbers in the dataset
   • BUse a VPN for all data transfers
   • CEncrypt the dataset at rest using AES-256
   • DApply role-based access control (RBAC) to the dataset
   Reveal Solution Discussion Select an answer first
2. 17application · medium

   A company operating in California is deploying an AI system that collects consumer data. The legal team is reviewing the deployment for compliance with the California Consumer Privacy Act (CCPA). Which requirement must the company implement?

   • AEnsure all consumer data is stored within the state of California
   • BAppoint a Data Protection Officer (DPO) for the AI system
   • CProvide consumers with the right to opt out of the sale of their personal information
   • DObtain explicit consent before collecting any personal information
   Reveal Solution Discussion Select an answer first
4. 18foundation · easy

   Which regulatory framework is a European Union law that grants individuals rights over their personal data and imposes obligations on organizations that process such data?

   • AHIPAA
   • BPCI DSS
   • CGDPR
   • DCCPA
   Reveal Solution Discussion Select an answer first
5. 19foundation · easy

   Which data security measure is used to ensure that only authorized personnel can view or modify an AI model's training data?

   • AAnonymization
   • BDifferential privacy
   • CAccess controls
   • DData minimization
   Reveal Solution Discussion Select an answer first