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ISACA Advanced in AI Risk Sample Questions:

1. After which of the following events is it MOST important to update risk ratings?

A) Vulnerability patch deployment for an AI system
B) Addition of new metrics tracked by automated monitoring
C) Discovery of discriminatory outputs from an AI system
D) Creation of a new AI risk oversight committee

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

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

3. A risk practitioner reviews an AI model that ingests diverse external feeds and determines that their reliability is not consistent. Which of the following BEST mitigates this risk?

A) Weighting historical records over recent samples to limit induced variance
B) Establishing data provenance and implementing stage gate quality reviews
C) Reducing the diversity of the external feeds and the number of classes
D) Updating to the latest model version to accurately reflect real-world data changes

4. AI tools can BEST help to mitigate supply chain risk by:

A) enhancing predictive capabilities to identify potential disruptions.
B) performing sentiment analysis on supplier reputation and reviews.
C) automating routine inventory management tasks.
D) identifying historical physical and logical security control gaps.

5. A risk practitioner learns that an organization's AI inventory includes separate listings of AI systems, models, and datasets. Which of the following is the risk practitioner's BEST recommendation to improve AI governance?

A) Assign inventory oversight to the AI risk committee.
B) Automate inventory reconciliation steps.
C) Include information about model training frequency.
D) Map interdependencies between AI assets continuously.

Solutions: