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ISACA AAIR Exam Syllabus Topics:

ISACA Advanced in AI Risk Sample Questions:

1. An organization has deployed an AI system to automate critical data analysis functions. Which of the following is the MOST appropriate way for the risk practitioner to assess the multiple sources of risk associated with this situation?

A) Quantify the financial impact of competitors' realized risk events on AI initiatives.
B) Rate each risk factor independently as a basis for ordering mitigation actions.
C) Prioritize the risk factors most likely to generate substantial harm.
D) Document the exploitable technical limitations of all AI system components.

2. 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) Employees find the AI system easy to learn and use.
B) The AI system's decisions are explainable and fair.
C) Performance metrics are frequently communicated to stakeholders.
D) Access token runtime is logged and timestamped.

3. Which of the following should be the MOST important area of focus during the development of data security risk scenarios specific to AI?

A) Documentation of business unit readiness for secure adoption of AI for general operations
B) Quantum encryption methods for the protection of proprietary organizational data assets
C) Development and communication of need-based access policies for the use of AI applications
D) Attack vectors enabled by techniques for malicious alteration of AI system outputs

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

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

5. Which of the following is a risk practitioner's BEST justification for embedding AI risk considerations into acceptable use policies?

A) Applying uniform risk controls across diverse business functions
B) Assigning AI risk accountability to business unit leadership
C) Maintaining alignment of enterprise tolerance across decision-making systems
D) Addressing the potential for shadow AI by defining an allow list for AI tools

Solutions: