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ISACA Advanced in AI Risk Sample Questions:

1. Which of the following BEST helps to ensure adherence to data minimization principles when using an AI model whose training dataset contains personal information?

A) Pseudonymization
B) Role-based access control (RBAC)
C) Data loss prevention (DLP)
D) Data encryption

2. A healthcare organization plans to use synthetic records in medical research to help protect patient privacy.
Which of the following is the GREATEST risk associated with using synthetic data to train AI models?

A) Synthetic data may be more susceptible to data poisoning attacks.
B) Synthetic data may not reflect the diversity of real-world data.
C) The use of synthetic data may result in an increase in false negatives.
D) The use of synthetic data may lead to regulatory noncompliance.

3. An organization has deployed an AI-powered customer service chatbot. Which of the following BEST helps to ensure the chatbot maintains high accuracy in interpreting and answering customer inquiries?

A) Introducing explainable AI techniques and conducting periodic code reviews
B) Measuring intent-classification error rates and refining training datasets
C) Calculating precision and recall scores and increasing model temperature
D) Adopting vendor-recommended thresholds and conducting benchmarking

4. A risk practitioner is reviewing an organization's implementation of a business-critical AI decision system.
Which of the following would be of GREATEST concern?

A) Lack of cross-functional AI incident identification and escalation training
B) Insufficient scenario-based testing of system failure modes and recovery procedures
C) Risk threshold acceptance criteria that do not require 100% decision accuracy
D) Reliance on conventional third-party security providers for system monitoring

5. An organization deploys an autonomous system that makes decisions affecting compliance with regulations.
If those decisions could potentially produce regulatory breaches, which of the following BEST helps to manage associated liability exposures?

A) Restricting AI deployment to use cases with lower impact and delaying broader operational integration
B) Retaining documentation that provides explainability for decisions and embedding controls in oversight processes
C) Creating a separate compliance program for AI obligations and maintaining distinct reporting channels
D) Routing escalations through a single point of contact and prohibiting disclosure of proprietary information

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