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ISACA Advanced in AI Risk Sample Questions:

1. Risk practitioners use automated tools to generate potential AI risk scenarios. Which of the following represents the GREATEST risk from that approach?

A) Likelihood and impact scoring may be more complex.
B) Scenarios may not account for all process interdependencies.
C) Impacts from model changes may be underestimated.
D) Emerging adversarial attack vectors may be overlooked.

2. Which of the following is the MOST important benefit of deploying continuous monitoring and automated anomaly detection for AI models in production?

A) Timely identification of adversarial intrusions and unauthorized parameter changes
B) Improved alignment of model outputs and behavior with organizational strategic goals
C) Automated risk register and vulnerability database updates
D) Enhanced interpretability and transparency of model decisions

3. An organization has identified a moderate AI exposure from potential model inaccuracies that could affect internal reporting. The risk falls within the organization's defined tolerance. Which of the following is the BEST course of action?

A) Accept the inherent risk and continue to monitor performance against organizational thresholds.
B) Adjust the model temperature to its lowest possible value and conduct comprehensive retesting.
C) Allocate more resources for additional human review cycles to identify accuracy and bias in model outputs.
D) Take the system offline until the model has been retrained and produces more accurate outputs.

4. An organization uses an AI model that learns from live data streams. Which of the following is the BEST course of action to manage the risk of an adaptive model?

A) Utilize a defense-in-depth control approach for model access.
B) Apply dynamic performance thresholds and conduct scheduled recalibrations.
C) Restrict data sources and perform periodic data quality inspections.
D) Implement automated monitoring to detect data drift and data poisoning.

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

Solutions: