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ISACA Advanced in AI Risk Sample Questions:

1. A risk practitioner is concerned that an AI model's responses have become more inaccurate over time, leading to diminished customer trust. Which of the following should the risk practitioner recommend be done FIRST?

A) Take the model offline and perform a full backup.
B) Determine the impact on critical features and model outputs.
C) Revise validation processes to add more review cycles.
D) Fully retrain the model with a more recent dataset.

2. To reinforce organization-wide ethical norms and risk recognition, which of the following is MOST important to integrate into AI user training?

A) Acceptable use policy and acknowledgment
B) Ethical risk indicators and reporting
C) Cyber threat identification and AI incident handling
D) External regulations and compliance checklists

3. A risk practitioner learns that a credit-scoring AI system is exhibiting bias that cannot be eliminated through further training. Which of the following is the risk practitioner's BEST recommendation?

A) Request a risk acceptance from senior management.
B) Apply compensating controls that generate offsetting biases in the opposite direction.
C) Source vendors for a new credit-scoring AI solution.
D) Take the system out of production to avoid harm and potential legal liability.

4. An organization has developed an AI code of conduct outlining ethical use, data privacy, and transparency principles. Which of the following is the BEST approach to integrate the code of conduct into workforce training?

A) Focus the training curriculum on compliance with AI-specific laws and regulations.
B) Provide role-tailored education supplemented by scheduled refreshers.
C) Incorporate the code of conduct into onboarding modules for new personnel.
D) Engage external providers to deliver learning content with periodic updates.

5. Which of the following is the BEST justification for selecting a risk avoidance strategy when considering whether to deploy a high-impact AI system?

A) Long-term reduction of operational costs
B) Potential harm to stakeholders
C) Shortage of AI expertise among staff
D) Likelihood of data poisoning attacks

Solutions: