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Reference: https://www.isaca.org/credentialing/aaia
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ISACA Advanced in AI Audit Sample Questions:
Which of the following provides the BEST evidence that an organization's AI integration is aligned with its overall technology strategy?
- A. Key performance indicators (KPIs) have been defined for AI systems.
- B. The organization has developed and socialized AI use policies.
- C. The IT department includes many individual contributors with AI expertise.
- D. Management promotes a culture of innovation.
Correct Answer: A 🗳️
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Which of the following controls would MOST effectively mitigate worst-case service disruption scenarios affecting an AI-based application system?
- A. Performing periodic tabletop exercises
- B. Updating key risk indicators (KRIs) regularly
- C. Including a range of AI disruption scenarios in the disaster recovery plan (DRP)
- D. Implementing a kill chain process in the event of disruption
Correct Answer: C 🗳️
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Which of the following is the BEST way to ensure data fed into an AI model aligns with business objectives?
- A. Normalize the data within expected tolerances
- B. Document the data input requirements
- C. Change to new data sources
- D. Define new data attributes
Correct Answer: B 🗳️
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An organization deploys an AI recruitment platform to screen job applicants. The IS auditor identifies that the platform's decisions may be influenced by model bias. Which of the following risk mitigation strategies is BEST for the auditor to recommend?
- A. Require manual reviews of all AI-generated recruitment decisions before hiring is finalized.
- B. Retrain the AI model using an external data set certified for inclusivity and fairness.
- C. Suspend the use of the AI system until the training data can be verified for fairness and compliance.
- D. Implement a process to periodically test the AI system for biases and adjust parameters as needed.
Correct Answer: D 🗳️
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A retail organization uses an AI model to forecast inventory based on customer purchasing trends and updates the model quarterly. The model recently failed to recognize a surge in demand during a popular shopping season. Which of the following issues does this situation BEST demonstrate?
- A. Lack of outlier checks in data affecting forecast accuracy
- B. Limited data set diversity impacting model training
- C. Overfitting issues due to a small training data set
- D. Data drift impacting system forecasting
Correct Answer: D 🗳️
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