
ISACAAdvanced in AI Risk
Domain 2Objective 4
AI Data and Asset Management AAIR Practice Questions (Page 6)
Part of the AI Life Cycle Risk Management domain, which accounts for 21% of the AAIR exam.
41questions here
9free pages
13concepts
21%of the exam
Questions 26–30
- 26
Which data quality dimension measures whether data accurately reflects the real-world entity or event it represents?
Select an answer first - 27
What is the primary purpose of a data retention policy in an AI system?
Select an answer first - 28
In the AI data life cycle, which stage involves checking the data for errors, inconsistencies, and missing values before the data is used for model training?
Select an answer first - 29
Which access control model grants permissions based on the roles of individual users within an organization?
Select an answer first - 30
A financial institution is building a credit-scoring model. The data team notices that the training dataset contains duplicate customer records and some fields have inconsistent formats (e.g., dates in different formats). They also suspect that the data may not represent all customer segments equally. Which combination of actions best addresses these data quality issues before model training?
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