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| Section | Weight | Objectives |
|---|---|---|
| AI Risk Governance and Framework Integration | 37% | - AI Policies, Procedures, and Organizational Training - AI Regulatory Compliance and Legal Considerations - AI Organizational Processes and Alignment - AI Trustworthiness, Ethical and Societal Implications - AI Ownership, Oversight, and Accountability - AI Models, Frameworks, Strategies, and Use Cases |
| AI Life Cycle Risk Management | 21% | - AI Design, Development/Procurement, and Documentation - AI Model Training, Testing, and Validation - AI Implementation, Maintenance, and Decommissioning - AI Data and Asset Management |
| AI Risk Program Management | 42% | - AI Risk Identification and Assessment - AI Risk Monitoring and Reporting - AI Risk Response and Mitigation - AI Risk Assurance and Continuous Improvement |
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NEW QUESTION # 77
A rideshare organization is considering the use of AI for dynamic surge pricing. Which of the following is the MOST important risk to evaluate?
Answer: D
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. Dynamic surge pricing directly affects customers and market behavior, creating legal and competition-law exposure that can be more consequential than integration, compute, or ordinary model-staleness issues. Regulatory scrutiny can lead to penalties and restrictions. This makes option B, Potential regulatory inquiries for anti- competitive AI pricing practices, 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 # 78
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?
Answer: C
Explanation:
Predictive maintenance for equipment components requires continuous analysis of operational data- vibration, temperature, pressure, electrical signatures-that indicate component health over time. AI systems performing this function must process high-frequency sensor data to detect patterns that precede failure.
Why D is Correct: According to ISACA AAIR AI application guidance, real-time sensor monitoring data analysis is the core capability enabling accurate failure point prediction. By continuously analyzing sensor readings against learned patterns of pre-failure behavior, AI systems can detect early-stage degradation signals and forecast time-to-failure with precision unavailable through periodic inspection or rule-based thresholds.
Why A is Wrong: Root cause identification occurs after a defect has already manifested. For predictive maintenance-predicting failure before it occurs-post-defect analysis provides no forward-looking capability.
Why B is Wrong: Replacement product recommendation is a procurement and inventory support function. It assists in planning responses to predicted failures but is not the capability that enables the prediction itself.
Why C is Wrong: Dynamic inventory management of spare parts supports maintenance operations but is a supply chain function dependent on failure predictions, not a capability that generates those predictions.
NEW QUESTION # 79
Which of the following is the MOST effective way to ensure identified AI risk is considered in business strategy decisions?
Answer: D
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. Mapping identified AI risks to organizational objectives translates technical exposure into business consequences and ensures risk is considered in strategic decisions. Workshops and vulnerability reports help identify issues but do not create the same direct strategy linkage. This makes option A, Map AI risk to organizational objectives, 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 # 80
An aviation operator is integrating AI into flight operations and maps existing controls to identified AI risk.
Which of the following is the risk practitioner ' s BEST course of action?
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. Once controls are mapped to AI risks, a control gap assessment determines whether existing measures are sufficient and identifies the difference between current and required control states. Performance targets or automatic upgrades should not precede that assessment. This makes option C, Perform a control gap assessment between current and desired AI control environments, 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 # 81
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: C
Explanation:
Even when an AI system is initially assessed as within risk tolerance, its risk profile evolves as the system encounters new data, the operational environment changes, and model performance drifts. Controls that were effective at deployment may become insufficient as these changes accumulate.
Why C is Correct: The ISACA AAIR operational monitoring guidance identifies continuous monitoring for data and performance drift as the most important mechanism for maintaining control effectiveness over time.
Drift detection provides early warning when the AI system begins behaving differently from its validated state-enabling timely control adjustments before risk tolerance is breached. This is particularly critical because AI systems can degrade gradually in ways not visible without active monitoring.
Why A is Wrong: Framework alignment establishes the control baseline but does not actively verify that controls remain effective as the system evolves. Frameworks provide structure; monitoring provides assurance.
Why B is Wrong: Security and risk awareness training is an important human capability development activity but does not detect technical changes in AI system behavior. Training does not substitute for technical monitoring.
Why D is Wrong: Periodic compliance reviews occur at scheduled intervals and may miss drift that develops between review cycles. Continuous monitoring provides real-time detection that periodic reviews cannot match.
NEW QUESTION # 82
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