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ISACA AAIR Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: AI Risk Governance and Framework Integration | 37% | - AI Organizational Processes and Alignment - AI Ownership, Oversight, and Accountability - AI Models, Frameworks, Strategies, and Use Cases - AI Trustworthiness, Ethical and Societal Implications - AI Regulatory Compliance and Legal Considerations - AI Policies, Procedures, and Organizational Training |
| Topic 2: AI Risk Program Management | 42% | - AI Risk Identification and Assessment - AI Risk Monitoring and Reporting - AI Risk Assurance and Continuous Improvement - AI Risk Response and Mitigation |
| Topic 3: AI Life Cycle Risk Management | 21% | - AI Model Training, Testing, and Validation - AI Design, Development/Procurement, and Documentation - AI Implementation, Maintenance, and Decommissioning - AI Data and Asset Management |
ISACA Advanced in AI Risk Sample Questions:
An organization uses multiple external data sources to train its AI models. Which of the following is the risk practitioner ' s BEST recommendation to protect the organization from data poisoning attacks?
- A. Stringent controls over model code and deployment artifacts
- B. Continuous monitoring and anomaly detection for data ingestion pipelines
- C. Enhanced regularization and training techniques to limit the influence of anomalies
- D. Data integrity reviews in response to indications that significant model drift has occurred
Correct Answer: B 🗳️
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Which of the following BEST mitigates the risk of misaligned return on investment (ROI) in AI initiatives?
- A. Prioritizing quantifiable outcomes in ROI calculations
- B. Establishing a comprehensive inventory of AI systems and services
- C. Mapping AI project outcomes to enterprise performance metrics
- D. Creating separate metrics for AI-aligned workforce development
Correct Answer: C 🗳️
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Which of the following is the MOST significant risk when an organization depends on a single AI vendor ' s proprietary environment?
- A. Higher initial expenditures
- B. Reduced AI scalability
- C. Prohibitive migration costs
- D. Lack of transparency
Correct Answer: C 🗳️
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An electricity provider uses an AI model to forecast and detect outages in power grids. Which of the following is the MOST important consideration to ensure the accuracy of model outputs?
- A. Integration of real-time sensor data
- B. Manual entry controls and verification processes
- C. Geographically dispersed data processing capabilities
- D. Continuous monitoring of model access points
Correct Answer: A 🗳️
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Which of the following is the MOST important consideration to reduce risk during the development of a large language model (LLM)?
- A. Ensuring security is assessed throughout the development life cycle
- B. Implementing fully autonomous decision-making functionality
- C. Using both qualitative and quantitative threat analysis
- D. Providing staff training on ethical and secure development of LLMs
Correct Answer: A 🗳️
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