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ISACA AAIR Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: 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 2: AI Risk Governance and Framework Integration | 37% | - AI Ownership, Oversight, and Accountability - AI Models, Frameworks, Strategies, and Use Cases - AI Organizational Processes and Alignment |
| Topic 3: AI Risk Program Management | 42% | - AI risk assessment and treatment strategies - Enterprise AI risk program design - AI governance communication and reporting - AI risk monitoring and continuous improvement |
ISACA Advanced in AI Risk Sample Questions:
Question #1
An organization is selecting an AI model for a solution that requires the creation of new content. It is MOST important to consider selecting:
A. a reinforcement learning model that optimizes sequential actions through reward signals.
B. a rule-based expert system driven by explicit decision rules and domain knowledge.
C. an unsupervised clustering model that groups observations by similarity metrics.
D. a generative model capable of synthesizing samples from an underlying distribution.
Question #2
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. Formal documented role assignments with named owners
C. Centralized governance task force for model decision authority
D. Regular reviews of resource allocation for AI projects
Question #3
A risk practitioner is performing a post-implementation review for an AI system used for credit scoring.
Which of the following is MOST important for the risk practitioner to confirm?
A. Access token runtime is logged and timestamped.
B. The AI system ' s decisions are explainable and fair.
C. Performance metrics are frequently communicated to stakeholders.
D. Employees find the AI system easy to learn and use.
Question #4
An organization uses an AI model that learns from live data streams. Which of the following is the BEST course of action to manage the risk of an adaptive model?
A. Utilize a defense-in-depth control approach for model access.
B. Restrict data sources and perform periodic data quality inspections.
C. Apply dynamic performance thresholds and conduct scheduled recalibrations.
D. Implement automated monitoring to detect data drift and data poisoning.
Question #5
Which of the following AI capabilities would BEST enable a forecasting system to accurately predict the point at which specific equipment components are likely to fail?
A. Dynamic inventories of spare equipment parts
B. Recommendation of replacement products
C. Real-time analysis of sensor monitoring data
D. Post-defect identification of complex root causes
Solutions:
| Question #1 Answer: D | Question #2 Answer: B | Question #3 Answer: B | Question #4 Answer: D | Question #5 Answer: C |
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