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ISACA Advanced in AI Risk Sample Questions:

1. Which of the following is the GREATEST concern when AI risk management operates separately from enterprise risk management (ERM)?

A) Reduced return on investment (ROI) due to increased model training costs
B) Redundant risk documentation and scoring
C) Inconsistent regulatory reporting
D) Lack of strategic control alignment

2. An organization has deployed an AI-powered customer service chatbot. Which of the following BEST helps to ensure the chatbot maintains high accuracy in interpreting and answering customer inquiries?

A) Introducing explainable AI techniques and conducting periodic code reviews
B) Adopting vendor-recommended thresholds and conducting benchmarking
C) Calculating precision and recall scores and increasing model temperature
D) Measuring intent-classification error rates and refining training datasets

3. Which of the following is the GREATEST risk when an organization relies only on adversarial training to protect a private AI model in a testing environment?

A) Overfitting to limited datasets
B) Increased likelihood of exposing proprietary algorithms
C) Presence of unaddressed system vulnerabilities
D) Inefficient model training cycles

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

5. Which of the following is MOST important to evaluate when selecting a vendor for a third-party large language model (LLM)?

A) Whether the vendor's service level agreements (SLAs) align with corporate strategy
B) How the vendor handles data during model training and inference
C) Whether the vendor offers subscription-based service options
D) How the vendor selects machine learning (ML) methods

Solutions: