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

2. Which of the following is the PRIMARY benefit of using AI-based data analytic tools to monitor AI system risk?

A) Early detection of latent vulnerabilities by identifying anomalous patterns within large datasets
B) Reduction of human involvement through automation of risk analyses and treatment decisions
C) Forecasting industry-specific AI risk trends and projecting future financial and business risk
D) Comprehensive logging and documentation of unauthorized AI system access attempts

3. An organization deploys an AI credit scoring model trained on historical financial data that underrepresents certain demographic groups. Which of the following is the risk practitioner's BEST recommendation to mitigate this risk?

A) Notify stakeholders that the model may not always reflect standard loan approval thresholds.
B) Implement reporting for model drift and anomalous model decisions.
C) Define specific inclusivity goals and expand data to a broader range of sources.
D) Use unsupervised learning to identify hidden or complex discriminatory patterns in the dataset.

4. 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

5. Which of the following should be the PRIMARY consideration when determining the priority for restoration of AI systems following a model exfiltration attack?

A) Cost of AI system vulnerability testing and patch deployment
B) Availability of externally vetted datasets for AI model retraining
C) AI-specific expertise among business continuity team members
D) Reliance on the AI system for critical business requirements

Solutions: