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ISACA Advanced in AI Risk Sample Questions:

1. A risk practitioner is developing risk scenarios related to successful data poisoning attacks on an AI model used across the organization. Which of the following is the BEST approach to help ensure the scenarios are relevant?

A) Engage key stakeholders in risk scenario development.
B) Create comprehensive data flow diagrams.
C) Gather information on similar attacks impacting industry peers
D) Perform adversarial testing in a sandbox environment.

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

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

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

4. An organization has deployed an AI system to automate critical data analysis functions. Which of the following is the MOST appropriate way for the risk practitioner to assess the multiple sources of risk associated with this situation?

A) Rate each risk factor independently as a basis for ordering mitigation actions.
B) Prioritize the risk factors most likely to generate substantial harm.
C) Quantify the financial impact of competitors' realized risk events on AI initiatives.
D) Document the exploitable technical limitations of all AI system components.

5. Which of the following is the BEST course of action to mitigate risk during model selection of supervised or unsupervised algorithms?

A) Prioritize cost reductions related to computational requirements.
B) Align algorithmic capabilities to intended use cases.
C) Require the use of supervised learning for model training projects.
D) Emphasize the generalization capability of algorithms.

Solutions: