ISACA Advanced in AI Risk Sample Questions:
1. A risk practitioner assesses a new AI system and determines that the risk is within the organization's risk tolerance. Which of the following is the BEST recommendation to ensure system controls remain effective over time?
A) Ongoing AI security and risk awareness training
B) Alignment with recognized AI control frameworks
C) Continuous monitoring for data and performance drift
D) Periodic regulatory compliance reviews
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) Federated accountability model
C) Hyperparameter fine-tuning
D) Data augmentation
3. After which of the following events is it MOST important to update risk ratings?
A) Creation of a new AI risk oversight committee
B) Vulnerability patch deployment for an AI system
C) Discovery of discriminatory outputs from an AI system
D) Addition of new metrics tracked by automated monitoring
4. A risk practitioner is assessing risk in a newly implemented AI system integrated into an organization's business processes. Which of the following is the MOST important consideration for the risk practitioner?
A) Level of existing business process automation prior to AI adoption
B) Escalation and approval protocols for AI mitigation measures
C) AI expertise within the organization's risk management function
D) Criticality and impact of decision-making driven by the AI system
5. Which of the following would be of GREATEST concern to a risk practitioner reviewing the testing and validation of an AI-driven technical support system?
A) Insufficient encryption of data at rest and in transit
B) Excessive dependence on manual sampling
C) Infrequent incorporation of updated training datasets
D) Inaccurate outputs resulting from model drift
Solutions:
| Question # 1 Answer: C | Question # 2 Answer: C | Question # 3 Answer: C | Question # 4 Answer: D | Question # 5 Answer: D |
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By Andrea

