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

2. 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) Return on investment (ROI) for new AI services can be evaluated more accurately.
C) Ethical principles can be added to AI development and usage after deployment.
D) Executive support for technical training and upskilling related to AI can be more effectively obtained.

3. An organization is selecting an AI model for a solution that requires the creation of new content. It is MOST important to consider selecting:

A) an unsupervised clustering model that groups observations by similarity metrics.
B) a generative model capable of synthesizing samples from an underlying distribution.
C) a rule-based expert system driven by explicit decision rules and domain knowledge.
D) a reinforcement learning model that optimizes sequential actions through reward signals.

4. Which of the following should be the MOST important area of focus during the development of data security risk scenarios specific to AI?

A) Documentation of business unit readiness for secure adoption of AI for general operations
B) Attack vectors enabled by techniques for malicious alteration of AI system outputs
C) Development and communication of need-based access policies for the use of AI applications
D) Quantum encryption methods for the protection of proprietary organizational data assets

5. Which of the following is the BEST governance approach for balancing risk management and operational flexibility across diverse AI applications?

A) Risk ownership processes that focus on ensuring centralized decision-making
B) External consultants who conduct independent AI governance reviews
C) Frameworks that can be adapted to business-relevant AI use cases
D) Control approaches for AI solutions that prioritize compliance on a single regulation

Solutions: