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ISACA AAIR Exam Syllabus Topics:

SectionWeightObjectives
Topic 1: AI Risk Program Management42%- AI risk assessment and treatment strategies
- AI risk monitoring and continuous improvement
- Enterprise AI risk program design
- AI governance communication and reporting
Topic 2: AI Life Cycle Risk Management- AI model and data risk identification
- AI development, deployment, and monitoring risks
- AI bias, drift, transparency, and control evaluation
Topic 3: AI Risk Governance and Framework Integration37%- AI Models, Frameworks, Strategies, and Use Cases
- AI Ownership, Oversight, and Accountability
- AI Organizational Processes and Alignment

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ISACA Advanced in AI Risk Sample Questions (Q114-Q119):

NEW QUESTION # 114
Which of the following is the GREATEST risk when an AI system requires a specific safeguard that cannot be put in place because of technical constraints?

Answer: A

Explanation:
When required safeguards cannot be technically implemented, the risk they were designed to mitigate remains unaddressed. This creates a residual exposure gap where the AI system operates with known, unmitigated vulnerabilities-a fundamental risk management failure for the identified threat.
Why A is Correct: The ISACA AAIR risk treatment guidance identifies elevated residual exposure from absent controls as the greatest risk when required safeguards cannot be implemented. Every required safeguard addresses a specific risk exposure. When that safeguard is technically infeasible, the risk it was designed to prevent remains fully present. This unmitigated exposure may exceed the organization's risk tolerance and require escalation to senior management for risk acceptance or alternative treatment decisions.
Why B is Wrong: Training dataset restrictions relate to model development constraints, not directly to the inability to implement a specific runtime safeguard. This is a separate concern that may arise in some technical constraint scenarios but is not the primary risk of an absent safeguard.
Why C is Wrong: User experience degradation is an operational quality concern. Performance impacts from technical constraints are a usability issue rather than a risk exposure representing the greatest organizational concern.
Why D is Wrong: Operational inefficiency and manual process dependencies are resource and process concerns. While relevant to operational cost and effectiveness, they do not represent the primary risk of an unmitigated security or safety exposure from an absent safeguard.


NEW QUESTION # 115
A risk practitioner learns that a credit-scoring AI system is exhibiting bias that cannot be eliminated through further training. Which of the following is the risk practitioner ' s BEST recommendation?

Answer: A


NEW QUESTION # 116
Which of the following is the MOST important consideration when developing AI security 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. AI security policies should be relevant to the organization ' s current and planned use cases and strategic objectives. A policy disconnected from actual AI adoption will not establish useful requirements for the risks the organization is taking. This makes option B, Relevance to current and projected AI use cases and strategic 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 # 117
Which of the following BEST helps to ensure adherence to data minimization principles when using an AI model whose training dataset contains personal information?

Answer: B

Explanation:
Data minimization is a privacy principle requiring that personal data be processed only to the extent necessary for the specified purpose. When training AI models, this means reducing the identifiability of personal data while preserving its statistical utility for model training.
Why D is Correct: According to ISACA AAIR data privacy guidance, pseudonymization directly supports data minimization by replacing identifying attributes with artificial identifiers, allowing the model to train on statistically representative data without processing full personal identifiers. This satisfies minimization requirements under frameworks like GDPR while maintaining training data utility-the specific challenge of AI model development with personal data.
Why A is Wrong: Data Loss Prevention prevents unauthorized transmission of data but does not reduce the amount of personal information contained in training datasets. DLP addresses data exfiltration risk, not data minimization compliance.
Why B is Wrong: Role-based access control restricts who can access the training data but does not reduce the volume or identifiability of personal information in the dataset. RBAC addresses access risk, not data minimization.
Why C is Wrong: Data encryption protects data confidentiality in storage and transit but does not remove or obfuscate personal identifiers from training data. Encrypted personal data is still personal data under privacy law.


NEW QUESTION # 118
Which of the following is the MOST suitable key risk indicator (KRI) for model drift resulting in biased or discriminatory outputs?

Answer: A

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. A disparate impact ratio directly measures differences in favorable outcomes across groups and is therefore the most relevant KRI when the stated concern is discriminatory output. Population stability measures distributional drift but does not directly establish disparate treatment. This makes option C, Disparate impact ratio, 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 # 119
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