AI Data and Asset Management AAIR Practice Questions (Page 3)

Questions 11–15

1. 11expert · hard

   A healthcare AI project uses patient data from multiple sources. The data team finds that some records have missing values, and the missingness is not random—it correlates with patient age. They also suspect that the data may not be representative of the entire patient population. Which approach best addresses these issues?

   • AIgnore the missing values and proceed with model training.
   • BImpute missing values using the mean of the entire dataset.
   • CUse multiple imputation techniques that account for the missingness pattern and assess the representativeness of the dataset.
   • DRemove all records with missing values.
   Reveal Solution Discussion Select an answer first
2. 12foundation · easy

   Which privacy principle requires that only the minimum amount of personal data necessary for a specific purpose be collected and processed?

   • AAccuracy
   • BData minimization
   • CPurpose limitation
   • DStorage limitation
   Reveal Solution Discussion Select an answer first
4. 13application · medium

   A large enterprise is starting an AI governance program. They need to understand what data assets exist across the organization to assess risks. What is the first step they should take?

   • ACreate a data asset inventory and catalog with metadata.
   • BDevelop a data classification scheme.
   • CImplement a data lineage tool to trace data flows.
   • DAssign data owners and stewards for each data asset.
   Reveal Solution Discussion Select an answer first
5. 14foundation · easy

   Which of the following is an example of a data life cycle risk that continuous monitoring can detect?

   • AThe number of data scientists on the team
   • BData drift, where the statistical properties of input data change over time
   • CThe brand of the database software
   • DThe color of the data storage server
   Reveal Solution Discussion Select an answer first
6. 15application · medium

   An AI system uses real-time data feeds for fraud detection. The risk team wants to ensure that data quality issues or security incidents are detected quickly. Which approach is most effective?

   • AConduct quarterly data quality audits.
   • BRely on user reports of data issues.
   • CPerform a one-time risk assessment of the data pipeline.
   • DImplement continuous monitoring of data quality and security metrics.
   Reveal Solution Discussion Select an answer first