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ISACA Advanced in AI Risk Sample Questions:

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

2. Which of the following is the MOST appropriate key performance indicator (KPI) for the effectiveness of a targeted AI risk awareness training program?

A) Changes in risk ratings for risk scenarios involving awareness of insider threats
B) Number of AI irregularities or potential tampering incidents reported by users
C) Percentage of users who can identify the financial impact of AI outcomes
D) AI solution adoption rates among business units whose employees have taken training

3. An organization integrates multiple AI services using APIs to enhance a customer support chatbot. Which of the following is the GREATEST risk?

A) Customer dissatisfaction from operational delays
B) Greater likelihood of bias or inaccuracy in chatbot responses
C) Insufficient training datasets due to outdated or limited sample coverage
D) Unauthorized disclosure of sensitive records via insecure external connections

4. A manufacturing organization has implemented an autonomous navigation system for warehouse operations.
Which of the following should a risk practitioner regard as the MOST significant concern?

A) The organization uses outside contractors to address the lack of in-house AI knowledge.
B) The system is used to accelerate just-in-time warehouse processes.
C) The deep neural network used by the system contains datasets with proprietary information.
D) The system is unable to learn from complex situations not encountered during training.

5. Which of the following AI capabilities would BEST enable a forecasting system to accurately predict the point at which specific equipment components are likely to fail?

A) Post-defect identification of complex root causes
B) Dynamic inventories of spare equipment parts
C) Real-time analysis of sensor monitoring data
D) Recommendation of replacement products

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