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ISACA Advanced in AI Audit Sample Questions (Q10-Q15):

NEW QUESTION # 10
An IS auditor is looking to expedite reporting for an audit with complex issues. Which of the following would be the MOST effective way for the auditor to use generative AI?

A. Revising audit background and scope information based on new information from management
B. Developing a draft of an executive summary based on detailed findings and audit scope
C. Developing action items discussed in closing meetings for management action plans
D. Revising audit conclusions with precise verbiage to describe the audit observations

Answer: B

NEW QUESTION # 11
When auditing a research agency's use of generative AI models for analyzing scientific data, which of the following is MOST critical to evaluate in order to prevent hallucinatory results and ensure the accuracy of outputs?

A. The algorithms for generative AI models designed to detect and correct data bias before processing
B. The measures in place to ensure the appropriateness and relevance of input data for generative AI models
C. The effectiveness of data anonymization processes that help preserve data quality
D. The frequency of data audits verifying the integrity and accuracy of inputs

Answer: B

NEW QUESTION # 12
While evaluating a complex machine learning (ML) model used for regulatory compliance in a financial institution, which of the following should the IS auditor do to BEST ensure transparency?

A. Create dashboards to show outputs.
B. Use tools that explain model decisions.
C. Document sources and data processes.
D. Provide periodic model audit reports.

Answer: B

NEW QUESTION # 13
Which of the following is MOST important to consider when deciding whether to implement an AI solution?

A. The cost of AI implementation
B. The space required for AI hardware
C. The speed of AI implementation
D. The ethical implications of AI

Answer: D

NEW QUESTION # 14
A digital bank utilizes an AI system to generate credit scores. Which of the following would BEST mitigate the risk of sudden and unexplained changes in a borrower's credit score?

A. Ensuring the system is periodically reviewed and calibrated by human experts to maintain stability in predictions
B. Using only data from the last six months to one year to avoid outdated information affecting the credit score
C. Allowing the AI to operate fully autonomously to prevent processing delays
D. Obtaining and validating the credit scores from third-party agencies to cross-check AI-generated results

Answer: A

NEW QUESTION # 15
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