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ISACA Advanced in AI Risk Sample Questions:

1. After which of the following events is it MOST important to update risk ratings?

A) Creation of a new AI risk oversight committee
B) Vulnerability patch deployment for an AI system
C) Addition of new metrics tracked by automated monitoring
D) Discovery of discriminatory outputs from an AI system

2. Which of the following is the GREATEST benefit of incorporating AI technology for data asset management?

A) Providing more rapid identification of overfitting during model training
B) Reducing the initial impacts of data poisoning and exfiltration attacks
C) Automating data cleaning and metadata tagging for large datasets
D) Justifying the use of synthetic data to augment smaller datasets

3. A manufacturing organization has implemented an autonomous navigation system for warehouse operations.
Which of the following should a risk practitioner regard as the MOST significant concern?

A) The system is unable to learn from complex situations not encountered during training.
B) The system is used to accelerate just-in-time warehouse processes.
C) The deep neural network used by the system contains datasets with proprietary information.
D) The organization uses outside contractors to address the lack of in-house AI knowledge.

4. A risk practitioner assesses a new AI system and determines that the risk is within the organization's risk tolerance. Which of the following is the BEST recommendation to ensure system controls remain effective over time?

A) Alignment with recognized AI control frameworks
B) Continuous monitoring for data and performance drift
C) Periodic regulatory compliance reviews
D) Ongoing AI security and risk awareness training

5. An organization has developed an AI code of conduct outlining ethical use, data privacy, and transparency principles. Which of the following is the BEST approach to integrate the code of conduct into workforce training?

A) Provide role-tailored education supplemented by scheduled refreshers.
B) Engage external providers to deliver learning content with periodic updates.
C) Focus the training curriculum on compliance with AI-specific laws and regulations.
D) Incorporate the code of conduct into onboarding modules for new personnel.

Solutions: