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ISACA AAIR Exam Syllabus Topics:

SectionWeightObjectives
AI Life Cycle Risk Management21%- AI Design, Development/Procurement, and Documentation
- AI Implementation, Maintenance, and Decommissioning
- AI Model Training, Testing, and Validation
- AI Data and Asset Management
AI Risk Program Management42%- AI Risk Assurance and Continuous Improvement
- AI Risk Response and Mitigation
- AI Risk Identification and Assessment
- AI Risk Monitoring and Reporting
AI Risk Governance and Framework Integration37%- AI Regulatory Compliance and Legal Considerations
- AI Ownership, Oversight, and Accountability
- AI Policies, Procedures, and Organizational Training
- AI Models, Frameworks, Strategies, and Use Cases
- AI Organizational Processes and Alignment
- AI Trustworthiness, Ethical and Societal Implications

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ISACA Advanced in AI Risk Sample Questions (Q106-Q111):

NEW QUESTION # 106
Which of the following is the MOST important reason to include AI-specific risk and compliance clauses in vendor contracts?

Answer: C

Explanation:
Within the ISACA Advanced in AI Risk framework, program management connects risk identification, control selection, treatment, monitoring, resilience, third-party oversight, and reporting to enterprise risk objectives. AI-specific contract clauses should clearly allocate liability and responsibilities for breaches affecting models, data, and services. Baseline frameworks and anonymization duties may be included, but enforceable accountability is the key reason for risk-based contracting. This makes option A, Assignment of liability for breaches impacting models and training data, the strongest answer. The other choices describe narrower technical, operational, performance, or administrative considerations and do not address the primary risk-management objective in the scenario as directly. A risk practitioner should select the response that most effectively reduces the stated exposure while preserving appropriate oversight, traceability, and alignment with organizational risk tolerance and business requirements.


NEW QUESTION # 107
Which of the following is the MOST effective approach to help ensure compliance with AI acceptable use policies?

Answer: A

Explanation:
Within the ISACA Advanced in AI Risk framework, governance decisions should align AI use with policy, accountability, stakeholder expectations, risk appetite, and applicable legal or ethical obligations. Acceptable use policies become effective when employees understand AI risks and how policy requirements apply in practice. Embedding AI risk awareness in training supports consistent user behavior, recognition of misuse, and appropriate escalation. This makes option D, Building trust by embedding AI risk awareness within organizational training, the strongest answer. The other choices describe narrower technical, operational, performance, or administrative considerations and do not address the primary risk-management objective in the scenario as directly. A risk practitioner should select the response that most effectively reduces the stated exposure while preserving appropriate oversight, traceability, and alignment with organizational risk tolerance and business requirements.


NEW QUESTION # 108
Which of the following is the PRIMARY benefit of using AI to assist with risk scenario identification?

Answer: C

Explanation:
Within the ISACA Advanced in AI Risk framework, program management connects risk identification, control selection, treatment, monitoring, resilience, third-party oversight, and reporting to enterprise risk objectives. AI assists risk scenario identification primarily through rapid analysis and pattern recognition across large volumes of information. Simulation and scoring are downstream capabilities, while pattern detection expands the practitioner ' s ability to identify emerging scenarios. This makes option C, Improved real-time analysis and pattern recognition, the strongest answer. The other choices describe narrower technical, operational, performance, or administrative considerations and do not address the primary risk- management objective in the scenario as directly. A risk practitioner should select the response that most effectively reduces the stated exposure while preserving appropriate oversight, traceability, and alignment with organizational risk tolerance and business requirements.


NEW QUESTION # 109
Which of the following is MOST important to mitigate risk when integrating third-party AI services into an organization's supply chain?

Answer: B

Explanation:
Within the ISACA Advanced in AI Risk framework, program management connects risk identification, control selection, treatment, monitoring, resilience, third-party oversight, and reporting to enterprise risk objectives. Third-party AI integration requires enforceable allocation of responsibility. Contractual accountability for AI controls clarifies which party must implement, maintain, monitor, and remediate controls across the supplier relationship. This makes option A, Assigning contractual accountability for AI controls, the strongest answer. The other choices describe narrower technical, operational, performance, or administrative considerations and do not address the primary risk-management objective in the scenario as directly. A risk practitioner should select the response that most effectively reduces the stated exposure while preserving appropriate oversight, traceability, and alignment with organizational risk tolerance and business requirements.


NEW QUESTION # 110
Which of the following is the PRIMARY benefit of adopting an AI governance framework?

Answer: C

Explanation:
Within the ISACA Advanced in AI Risk framework, governance decisions should align AI use with policy, accountability, stakeholder expectations, risk appetite, and applicable legal or ethical obligations. An AI governance framework primarily creates structured enterprise oversight, accountability, policy alignment, monitoring, and compliance. Resource allocation and technical standardization may improve, but they are secondary outcomes rather than the central governance benefit. This makes option A, Structured enterprise AI risk oversight and compliance, the strongest answer. The other choices describe narrower technical, operational, performance, or administrative considerations and do not address the primary risk-management objective in the scenario as directly. A risk practitioner should select the response that most effectively reduces the stated exposure while preserving appropriate oversight, traceability, and alignment with organizational risk tolerance and business requirements.


NEW QUESTION # 111
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