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ISACA Advanced in AI Risk Sample Questions:

1. An organization has deployed an AI-powered customer service chatbot. Which of the following BEST helps to ensure the chatbot maintains high accuracy in interpreting and answering customer inquiries?

A) Adopting vendor-recommended thresholds and conducting benchmarking
B) Measuring intent-classification error rates and refining training datasets
C) Introducing explainable AI techniques and conducting periodic code reviews
D) Calculating precision and recall scores and increasing model temperature

2. An organization has deployed generative AI tools broadly but lacks a consistent method to refresh governance policies and controls. Which of the following is the risk practitioner's BEST recommendation?

A) Implement systematic updates and emphasize alignment with emerging regulatory expectations.
B) Establish an ongoing review cadence and codify procedures for reassessment.
C) Schedule annual compliance reviews and integrate audit findings into revision planning.
D) Centralize decision making and concentrate authority within executive leadership and technical owners.

3. Which of the following is the PRIMARY reason to lower AI model temperature?

A) To diversify ideas and recommendations generated by the model
B) To reduce energy consumption and environmental impact
C) To mitigate the risk of persistent bias in responses to users
D) To enhance consistency and accuracy of model outputs

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

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

5. Which of the following is the MOST important consideration when determining mitigation controls for an AI system?

A) Providing comprehensive AI risk awareness training to security and technical personnel
B) Evaluating control effectiveness and costs against potential business losses from unmitigated AI risk
C) Prioritizing controls based on the complexity and computational requirements of the AI system
D) Determining control performance baselines and reporting requirements for regulatory compliance

Solutions: