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ISACA Advanced in AI Risk Sample Questions:
1. Which of the following BEST helps to ensure adherence to data minimization principles when using an AI model whose training dataset contains personal information?
A) Data encryption
B) Data loss prevention (DLP)
C) Role-based access control (RBAC)
D) Pseudonymization
2. Which of the following is the GREATEST risk when an organization lacks clearly defined accountability mechanisms for AI outputs and decisions?
A) Ineffective model training
B) Reduced availability
C) Legal liability
D) Intellectual property exposure
3. Risk practitioners use automated tools to generate potential AI risk scenarios. Which of the following represents the GREATEST risk from that approach?
A) Impacts from model changes may be underestimated.
B) Likelihood and impact scoring may be more complex.
C) Emerging adversarial attack vectors may be overlooked.
D) Scenarios may not account for all process interdependencies.
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) Synthetic data augmentation
B) Supervised learning
C) Data normalization
D) Dataset diversity
5. An organization is integrating AI systems into core business operations and has decided to establish a formal process to align AI initiatives with corporate values. Which of the following is the GREATEST benefit of this decision?
A) The transparency and explainability of AI model decisions is enhanced for all stakeholder groups.
B) Ethical principles can be added to AI development and usage after deployment.
C) Executive support for technical training and upskilling related to AI can be more effectively obtained.
D) Return on investment (ROI) for new AI services can be evaluated more accurately.
Solutions:
| Question # 1 Answer: D | Question # 2 Answer: C | Question # 3 Answer: D | Question # 4 Answer: D | Question # 5 Answer: A |





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