
ISACAAdvanced in AI Audit
Domain 3Objective 4
Audit Data Quality and Data Analytics AAIA Practice Questions (Page 5)
Part of the AI Auditing Tools and Techniques domain, which accounts for 21% of the AAIA exam.
37questions here
8free pages
10concepts
21%of the exam
Questions 21–25
- 21
An AI audit team is evaluating a credit-scoring model. The model was trained on a dataset where the 'income' field contains values like 'high', 'medium', 'low', and 'N/A'. The team needs to determine whether the model's predictions are biased against a protected group. Which data quality dimension is MOST directly compromised by the 'N/A' entries in the income field, and what is the primary audit concern?
Select an answer first - 22
An AI auditor is investigating why a model's error rate increased significantly last month. The auditor analyzes log data to identify the root cause. Which type of data analytics is the auditor applying?
Select an answer first - 23
An AI auditor wants to perform advanced statistical analysis and create custom visualizations of audit data. Which data analytics tool is specifically designed for statistical computing and graphics?
Select an answer first - 24
An AI auditor is analyzing a dataset to evaluate a model's fairness across different demographic groups. Which ethical consideration is most directly relevant to this analysis?
Select an answer first - 25
An auditor needs to extract a sample of all transactions from a large SQL database where the transaction date is in the last fiscal year and the amount exceeds $10,000. The auditor must also ensure the process is repeatable and documented. Which approach is MOST appropriate?
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