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ISACA AAIR Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| AI Risk Program Management | 42% | - AI Risk Identification and Assessment - AI Risk Assurance and Continuous Improvement - AI Risk Response and Mitigation - AI Risk Monitoring and Reporting |
| AI Life Cycle Risk Management | 21% | - AI Design, Development/Procurement, and Documentation - AI Data and Asset Management - AI Model Training, Testing, and Validation - AI Implementation, Maintenance, and Decommissioning |
| AI Risk Governance and Framework Integration | 37% | - AI Policies, Procedures, and Organizational Training - AI Models, Frameworks, Strategies, and Use Cases - AI Trustworthiness, Ethical and Societal Implications - AI Regulatory Compliance and Legal Considerations - AI Organizational Processes and Alignment - AI Ownership, Oversight, and Accountability |
ISACA Advanced in AI Risk Sample Questions:
1. Which of the following is MOST important to evaluate when selecting a vendor for a third-party large language model (LLM)?
A) How the vendor handles data during model training and inference
B) Whether the vendor offers subscription-based service options
C) How the vendor selects machine learning (ML) methods
D) Whether the vendor's service level agreements (SLAs) align with corporate strategy
2. A risk practitioner is concerned that an AI model's responses have become more inaccurate over time, leading to diminished customer trust. Which of the following should the risk practitioner recommend be done FIRST?
A) Revise validation processes to add more review cycles.
B) Determine the impact on critical features and model outputs.
C) Fully retrain the model with a more recent dataset.
D) Take the model offline and perform a full backup.
3. Which of the following is the MOST important benefit of deploying continuous monitoring and automated anomaly detection for AI models in production?
A) Timely identification of adversarial intrusions and unauthorized parameter changes
B) Automated risk register and vulnerability database updates
C) Improved alignment of model outputs and behavior with organizational strategic goals
D) Enhanced interpretability and transparency of model decisions
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) Requiring manual review of outputs for stability and accuracy
C) Implementing AI-specific change management processes
D) Maintaining continuous post-deployment performance monitoring
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) Recommendation of replacement products
B) Real-time analysis of sensor monitoring data
C) Dynamic inventories of spare equipment parts
D) Post-defect identification of complex root causes
Solutions:
| Question # 1 Answer: A | Question # 2 Answer: B | Question # 3 Answer: A | Question # 4 Answer: A | Question # 5 Answer: B |
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