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ISACA AAIR Exam Syllabus Topics:

ISACA Advanced in AI Risk Sample Questions:

1. Which of the following BEST mitigates risk associated with evasion attacks on AI models?

A) Anomaly detection
B) Feature importance weighting
C) Predictive analytics
D) API rate limiting

2. An organization seeks to implement a new AI system that uses customer information to create targeted product recommendations. Which of the following is the MOST important consideration to ensure the system complies with regulatory requirements?

A) Backup and storage protocols for sensitive data
B) Use of supervised learning during model training
C) Human review of system recommendations
D) Legally sourced data with appropriate consent

3. Which of the following is a risk practitioner's BEST recommendation to establish accountability for AI system outputs and decisions?

A) Continuous monitoring and key performance indicators (KPIs)
B) Regular reviews of resource allocation for AI projects
C) Centralized governance task force for model decision authority
D) Formal documented role assignments with named owners

4. Which of the following AI system considerations BEST mitigates risk associated with model drift?

A) Conducting regular retraining with new relevant datasets
B) Restricting the use of automated data validation to low-risk models
C) Maintaining existing levels of variance within datasets during preprocessing
D) Implementing strong access controls based on roles and responsibilities

5. A risk practitioner learns that an AI system used by a manufacturer for quality control (QC) has produced inaccurate responses that could potentially impact user safety. Which of the following is the risk practitioner's BEST recommendation to mitigate this risk?

A) Augment the model with synthetic data.
B) Provide AI prompt engineering training.
C) Conduct bias and fairness testing.
D) Implement human-in-the-loop reviews.

Solutions: