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ISACA Advanced in AI Risk Sample Questions:

1. Which of the following poses the GREATEST challenge when performing root cause analysis for incidents involving AI systems and data?

A) Lack of transparency
B) Automation bias
C) Unclear system objectives
D) Privacy compliance

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

3. A credit-scoring AI solution exhibits steadily declining accuracy despite unchanged input distributions.
Which of the following should a risk practitioner consider to be the GREATEST risk?

A) Technical delays affecting credit score updates
B) Underfitting resulting from shortened training cycles
C) Increased model retraining costs
D) Concept drift leading to faulty decisions

4. A healthcare organization plans to use synthetic records in medical research to help protect patient privacy.
Which of the following is the GREATEST risk associated with using synthetic data to train AI models?

A) Synthetic data may not reflect the diversity of real-world data.
B) The use of synthetic data may lead to regulatory noncompliance.
C) Synthetic data may be more susceptible to data poisoning attacks.
D) The use of synthetic data may result in an increase in false negatives.

5. Which risk treatment is MOST appropriate when an organization's AI system presents residual risk within tolerance and impacts non-critical functions?

A) Implement periodic vulnerability scans.
B) Enhance monitoring to detect deviations
C) Document a formal risk acceptance.
D) Recommend increasing the tolerance threshold.

Solutions: