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Advanced in AI audit (AAIA) (AAIA) - Isaca Exam Questions

Last updated on June 20, 2026

97% Exam Compliance
180 Total Questions
1
Question
When converting data categories before training an AI model, which of the following scenarios represents the GREATEST risk?
Options
A One-hot encoding the data attribute customer rewards category for the options economy,
business, first class
B Creating dummy variables for the data attribute dog breed for the options labrador, terrier, beagle
C One-hot encoding the data attribute car colors for the options red, blue, green, black, white
D Creating dummy variables for the data attribute product flavor for the options vanilla, chocolate,
strawberry, banana
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2
Question
An IS auditor reviewed an AI-enabled software for processing a bank's financial information and discovered errors in the training data. Which of the following would BEST mitigate this risk?
Options
A Data quality testing
B Functional testing of the application
C User interface testing
D Model validation on benchmark data
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3
Question
An IS auditor finds that an AI model's outputs are not being reviewed. Which of the following would BEST address this risk?
Options
A Regular AI model retraining
B A larger training dataset
C A validation process for AI decisions
D Prompt templates
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4
Question
An organization deploys a complex AI model to support credit risk assessments. Stakeholders find the model’s output difficult to interpret. Which of the following BEST improves interpretability?
Options
A Developing documentation and visual tools explaining how the model generates outputs
B Training stakeholders to interpret AI outputs
C Implementing a rule-based system to validate the AI model's decisions
D Reducing the model’s complexity
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5
Question
For a sales promotion, an AI system sorts customer attributes into several categories by analyzing
transaction history. Verifying which of the following would BEST validate the effectiveness of this process?
Options
A The applied methodology adequately reflects business objectives.
B Stress tests are regularly conducted to maintain consistent AI performance.
C Sensitive attributes are converted to other data types prior to input.
D Sampling of AI output is conducted to identify unusual decisions.
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