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| Section | Weight | Objectives |
|---|---|---|
| AI Risk Program Management | 42% | - AI Risk Assurance and Continuous Improvement - AI Risk Identification and Assessment - AI Risk Response and Mitigation - AI Risk Monitoring and Reporting |
| AI Risk Governance and Framework Integration | 37% | - AI Policies, Procedures, and Organizational Training - AI Regulatory Compliance and Legal Considerations - AI Trustworthiness, Ethical and Societal Implications - AI Organizational Processes and Alignment - AI Models, Frameworks, Strategies, and Use Cases - AI Ownership, Oversight, and Accountability |
| AI Life Cycle Risk Management | 21% | - AI Implementation, Maintenance, and Decommissioning - AI Design, Development/Procurement, and Documentation - AI Model Training, Testing, and Validation - AI Data and Asset Management |
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NEW QUESTION # 153
Which of the following is the MOST important consideration to reduce risk during the development of a large language model (LLM)?
Answer: C
Explanation:
Within the ISACA Advanced in AI Risk framework, life-cycle controls should protect data quality, model design, testing, validation, monitoring, change management, and secure retirement of AI systems. Security should be assessed throughout LLM design, development, testing, deployment, and maintenance so vulnerabilities and unsafe behaviors are identified before becoming embedded in production. Threat analysis and staff training are supporting activities within that broader secure lifecycle. This makes option D, Ensuring security is assessed throughout the development life cycle, 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 # 154
Which of the following is the PRIMARY benefit of tailoring AI governance to an organization's culture and risk tolerance?
Answer: C
Explanation:
AI governance frameworks that are disconnected from organizational culture and risk tolerance face adoption resistance and produce policies that are either too restrictive or too permissive. Tailored governance is more likely to be embraced by stakeholders and produce risk policies calibrated to the organization's actual risk appetite.
Why B is Correct: The ISACA AAIR Study Guide emphasizes that governance tailored to culture and risk tolerance produces two primary benefits: stakeholders are more likely to accept and follow governance policies that reflect their own values and operational realities, and the resulting policies are appropriately calibrated to actual risk appetite rather than generic standards. Together, these produce more effective, sustainable governance.
Why A is Wrong: Model explainability is a technical property of individual AI systems, not a governance tailoring outcome. Regulatory compliance may improve with tailored governance but is a compliance benefit, not the primary benefit of cultural alignment.
Why C is Wrong: Automation of risk assessment and accountability clarity are process improvements that may result from better governance design but are not the primary benefit of cultural and risk tolerance alignment.
Why D is Wrong: Training programs and reskilling are workforce development activities. While governance reform may highlight training needs, skills development is an enabling activity rather than the primary benefit of culturally tailored governance.
NEW QUESTION # 155
The PRIMARY reason to transfer residual AI risk to a third party is to:
Answer: D
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. Risk transfer is used when a third party assumes defined financial or contractual consequences of residual risk that the organization cannot or chooses not to retain. It can reduce organizational liability, but it does not eliminate the organization ' s governance responsibilities. This makes option A, lower organizational liability when internal mitigations fail, 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 # 156
A manufacturing organization has implemented an autonomous navigation system for warehouse operations.
Which of the following should a risk practitioner regard as the MOST significant concern?
Answer: A
Explanation:
Autonomous navigation systems in physical environments like warehouses operate in complex, dynamic spaces where unexpected situations arise regularly. Systems trained on limited scenarios may behave unpredictably-or dangerously-when confronted with conditions outside their training distribution.
Why A is Correct: The ISACA AAIR guidance on autonomous systems identifies the inability to generalize beyond training scenarios as the most significant concern because it creates direct physical safety risks. In a warehouse, an autonomous system that cannot adapt to novel situations-unexpected obstacles, unusual layouts, human workers in unexpected locations-may collide with equipment or personnel, causing injury or property damage. This operational safety risk is the highest priority concern.
Why B is Wrong: Proprietary datasets in the neural network represent an intellectual property and data privacy concern. While relevant, it is a data governance issue that does not create the same magnitude of physical safety risk.
Why C is Wrong: Using AI to accelerate just-in-time processes is an intended operational use. Process acceleration is the value proposition, not a risk concern. The risk lies in how reliably and safely that acceleration is achieved.
Why D is Wrong: Reliance on outside contractors reflects a workforce capability gap but represents a manageable governance risk through appropriate vendor oversight. It does not create the direct physical safety exposure of a system that cannot handle novel situations.
NEW QUESTION # 157
A risk practitioner assesses a new AI system and determines that the risk is within the organization ' s risk tolerance. Which of the following is the BEST recommendation to ensure system controls remain effective over time?
Answer: D
NEW QUESTION # 158
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