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ISACA Advanced in AI Risk Sample Questions:

1. Which of the following is the MOST important reason for a risk practitioner to classify AI risk using threat actor profiles?

A) To ensure external threats to corporate assets are given highest priority
B) To tailor controls to adversary motivations and capabilities
C) To align AI threat and vulnerability risk with the overall IT control taxonomy
D) To develop response metrics for AI cybersecurity incidents

2. Which of the following BEST helps to ensure a deep learning model with a large volume of relevant data meets an organization's needs?

A) Data augmentation
B) Unsupervised learning
C) Hyperparameter fine-tuning
D) Federated accountability model

3. 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) Restrict data sources and perform periodic data quality inspections.
C) Implement automated monitoring to detect data drift and data poisoning.
D) Apply dynamic performance thresholds and conduct scheduled recalibrations.

4. A financial organization is developing an AI model for credit risk assessment. Which of the following is MOST important to ensure the training data supports accurate and unbiased outcomes?

A) Data normalization
B) Synthetic data augmentation
C) Supervised learning
D) Dataset diversity

5. 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) Quantify the financial impact of competitors' realized risk events on AI initiatives.
C) Document the exploitable technical limitations of all AI system components.
D) Prioritize the risk factors most likely to generate substantial harm.

Solutions: