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ISACA AAIR Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: AI Risk Program Management | 42% | - AI governance communication and reporting - AI risk assessment and treatment strategies - Enterprise AI risk program design - AI risk monitoring and continuous improvement |
| Topic 2: AI Life Cycle Risk Management | - AI model and data risk identification - AI development, deployment, and monitoring risks - AI bias, drift, transparency, and control evaluation | |
| Topic 3: AI Risk Governance and Framework Integration | 37% | - AI Ownership, Oversight, and Accountability - AI Organizational Processes and Alignment - AI Models, Frameworks, Strategies, and Use Cases |
ISACA Advanced in AI Risk Sample Questions:
1. A risk practitioner discovers that autonomous agents have been creating temporary HR system identities.
Which of the following poses the GREATEST risk?
A) Delays in breach identification and response
B) Identities are not incorporated into the federated system
C) Ineffective credential management
D) Increased staffing needs for human validation
2. Which of the following BEST helps to ensure AI model outputs can be reproduced in other environments?
A) Implementing AI-specific change management processes
B) Maintaining continuous post-deployment performance monitoring
C) Capturing and archiving complete snapshots of training datasets
D) Requiring manual review of outputs for stability and accuracy
3. An organization plans to procure an AI model from a third-party supplier for a critical business function.
Which of the following is MOST important to evaluate during supplier vetting?
A) Emphasis on innovative solutions
B) Alignment with specific use cases
C) Size of model training datasets
D) Industry-recognized certifications
4. Which of the following is the PRIMARY benefit of integrating AI-driven business intelligence into enterprise risk processes?
A) Centralized governance of AI inventory and classification activities
B) Reduced costs through elimination of redundant business risk oversight mechanisms
C) Enhanced alignment of analysis outputs with organizational risk thresholds
D) Automated production of technical performance reports for AI business tools
5. An organization plans to deploy a generative AI system that processes sensitive personal data across multiple countries with varying privacy laws. Which of the following is the BEST course of action to manage legal and regulatory exposure?
A) Tailor organizational controls to relevant statutory requirements and preserve audit trails to prove adherence.
B) Adopt uniform global policies and implement strong encryption of personal data for all cross-border transfers.
C) Remediate regulatory gaps in each jurisdiction through iterative post-deployment updates and model retraining.
D) Prioritize protection of intellectual property and restrict disclosure of model operations to safeguard assets.
Solutions:
| Question # 1 Answer: B | Question # 2 Answer: C | Question # 3 Answer: B | Question # 4 Answer: C | Question # 5 Answer: A |
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