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ISACA Advanced in AI Risk Sample Questions:

1. Which of the following is the PRIMARY benefit of implementing a comprehensive data pipeline for AI model training, testing, and validation?

A) Enhanced auditability of outputs to provide evidence of regulatory compliance
B) Automation of complex tasks in early stages of the data pipeline
C) Reduced risk of introducing errors into the final AI model
D) Sharing of governance risk with external data and service providers

2. A risk practitioner discovers that autonomous agents have been creating temporary HR system identities.
Which of the following poses the GREATEST risk?

A) Increased staffing needs for human validation
B) Delays in breach identification and response
C) Ineffective credential management
D) Identities are not incorporated into the federated system

3. Which of the following poses the GREATEST challenge related to the protection of intellectual property generated by AI solutions?

A) Inherent risk in fundamental AI use cases such as general inquiries or administrative tasks
B) Lack of regulatory clarity regarding the copyright status of AI-generated content
C) Use of third-party AI service providers that have zero-data retention policies
D) Difficulty in customizing training materials for users on confidential data handling in AI environments

4. Which of the following is the GREATEST risk when an AI system requires a specific safeguard that cannot be put in place because of technical constraints?

A) Deterioration of model accuracy due to restrictions on training datasets
B) Increased operational inefficiency and reliance on manual processes
C) Degraded user experience resulting from reduced system performance
D) Elevated residual exposure due to lack of effective controls

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

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

Solutions: