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ISACA AAIR Exam Syllabus Topics:

ISACA Advanced in AI Risk Sample Questions:

1. A risk practitioner is reviewing an organization's implementation of a business-critical AI decision system.
Which of the following would be of GREATEST concern?

A) Lack of cross-functional AI incident identification and escalation training
B) Reliance on conventional third-party security providers for system monitoring
C) Risk threshold acceptance criteria that do not require 100% decision accuracy
D) Insufficient scenario-based testing of system failure modes and recovery procedures

2. An organization has identified a moderate AI exposure from potential model inaccuracies that could affect internal reporting. The risk falls within the organization's defined tolerance. Which of the following is the BEST course of action?

A) Take the system offline until the model has been retrained and produces more accurate outputs.
B) Allocate more resources for additional human review cycles to identify accuracy and bias in model outputs.
C) Accept the inherent risk and continue to monitor performance against organizational thresholds.
D) Adjust the model temperature to its lowest possible value and conduct comprehensive retesting.

3. Which risk treatment is MOST appropriate when an organization's AI system presents residual risk within tolerance and impacts non-critical functions?

A) Enhance monitoring to detect deviations
B) Recommend increasing the tolerance threshold.
C) Document a formal risk acceptance.
D) Implement periodic vulnerability scans.

4. Which of the following BEST helps to ensure AI model outputs can be reproduced in other environments?

A) Capturing and archiving complete snapshots of training datasets
B) Maintaining continuous post-deployment performance monitoring
C) Requiring manual review of outputs for stability and accuracy
D) Implementing AI-specific change management processes

5. Which of the following is the PRIMARY benefit of integrating AI-driven business intelligence into enterprise risk processes?

A) Reduced costs through elimination of redundant business risk oversight mechanisms
B) Enhanced alignment of analysis outputs with organizational risk thresholds
C) Automated production of technical performance reports for AI business tools
D) Centralized governance of AI inventory and classification activities

Solutions: