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ISACA Advanced in AI Risk Sample Questions:

1. Which of the following is the BEST course of action to mitigate risk during model selection of supervised or unsupervised algorithms?

A) Align algorithmic capabilities to intended use cases.
B) Require the use of supervised learning for model training projects.
C) Emphasize the generalization capability of algorithms.
D) Prioritize cost reductions related to computational requirements.

2. An organization has deployed generative AI tools broadly but lacks a consistent method to refresh governance policies and controls. Which of the following is the risk practitioner's BEST recommendation?

A) Implement systematic updates and emphasize alignment with emerging regulatory expectations.
B) Establish an ongoing review cadence and codify procedures for reassessment.
C) Schedule annual compliance reviews and integrate audit findings into revision planning.
D) Centralize decision making and concentrate authority within executive leadership and technical owners.

3. 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) Inaccurate outputs resulting from model drift
B) Insufficient encryption of data at rest and in transit
C) Infrequent incorporation of updated training datasets
D) Excessive dependence on manual sampling

4. Which of the following is the GREATEST concern when an organization cannot clearly explain an AI system's decision-making process and the origin of its inputs?

A) Heightened reliance on manual review resulting in approval bottlenecks and slower response times
B) Decrease in AI adoption rates within business units who are regularly responsible for critical decisions
C) Inability to detect discriminatory or inaccurate outputs that expose the organization to regulatory and reputational risk
D) Increased dependence on external AI service providers for managing AI system risk throughout its life cycle

5. Risk practitioners use automated tools to generate potential AI risk scenarios. Which of the following represents the GREATEST risk from that approach?

A) Likelihood and impact scoring may be more complex.
B) Impacts from model changes may be underestimated.
C) Emerging adversarial attack vectors may be overlooked.
D) Scenarios may not account for all process interdependencies.

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