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ISACA Advanced in AI Risk Sample Questions:

1. 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?

A) Alignment with recognized AI control frameworks
B) Continuous monitoring for data and performance drift
C) Periodic regulatory compliance reviews
D) Ongoing AI security and risk awareness training

2. A risk practitioner is assessing risk in a newly implemented AI system integrated into an organization's business processes. Which of the following is the MOST important consideration for the risk practitioner?

A) AI expertise within the organization's risk management function
B) Escalation and approval protocols for AI mitigation measures
C) Level of existing business process automation prior to AI adoption
D) Criticality and impact of decision-making driven by the AI system

3. Which of the following is the BEST justification for selecting a risk avoidance strategy when considering whether to deploy a high-impact AI system?

A) Potential harm to stakeholders
B) Long-term reduction of operational costs
C) Shortage of AI expertise among staff
D) Likelihood of data poisoning attacks

4. Which of the following is a risk practitioner's BEST recommendation to establish accountability for AI system outputs and decisions?

A) Regular reviews of resource allocation for AI projects
B) Formal documented role assignments with named owners
C) Centralized governance task force for model decision authority
D) Continuous monitoring and key performance indicators (KPIs)

5. Which of the following is the PRIMARY benefit of aligning AI risk management with existing organizational governance frameworks?

A) It expedites approval processes for compliance with AI laws and regulations.
B) It standardizes AI acquisition processes across organizational business units.
C) It emphasizes the development of specialized functional roles and clarifies AI risk responsibility boundaries.
D) It promotes consistent enterprise-level oversight of AI activities and aligns decisioning with strategic objectives.

Solutions: