Data Management Specific to AI AAIA Practice Questions (Page 8)

Questions 36–40

1. 36foundation · easy

   Which data quality dimension is most directly affected when the same customer record appears with different addresses in two source systems?

   • ACompleteness
   • BAccuracy
   • CConsistency
   • DTimeliness
   Reveal Solution Discussion Select an answer first
2. 37foundation · easy

   Which US state privacy law gives residents the right to access and delete personal data collected by businesses?

   • AGDPR
   • BFERPA
   • CCCPA
   • DSOX
   Reveal Solution Discussion Select an answer first
4. 38foundation · easy

   Which data storage solution is most appropriate for storing large volumes of unstructured data, such as images and text, for AI training?

   • AIn-memory cache
   • BObject storage
   • CBlock storage
   • DRelational database
   Reveal Solution Discussion Select an answer first
5. 39application · medium

   A financial services firm is developing a credit-scoring model. The data engineering team has merged customer data from three different source systems. During validation, the model shows significantly lower accuracy for applicants from a specific geographic region. The data quality team suspects the issue is related to how the data was integrated. Which data quality dimension is most likely the root cause of the regional performance disparity?

   • AAccuracy — the data from that region has a higher proportion of values that are within the expected range.
   • BTimeliness — the data from that region was updated more frequently than data from other regions.
   • CConsistency — the data from that region uses a different format for the same fields, but all values are present.
   • DCompleteness — the merged dataset has a higher rate of missing values for applicants from that region.
   Reveal Solution Discussion Select an answer first
6. 40application · medium

   A healthcare organization is deploying an AI model that predicts patient readmission risk. The model was trained on historical patient records that include personally identifiable information (PII). The organization's legal team requires that patient data be retained for a minimum of 7 years per regulatory standards, but the AI operations team wants to minimize the risk of a data breach. The data governance committee must approve the data lifecycle plan. Which combination of lifecycle controls best satisfies both the regulatory retention requirement and the security objective?

   • ARetain the raw patient records for 7 years in an encrypted data lake, and use tokenization for the model's training dataset so that PII is not stored in the active training environment.
   • BAnonymize the patient records and retain the anonymized version for 7 years, while deleting the raw PII after 30 days.
   • CStore the raw patient records in a separate on-premises server with no network connectivity, and keep the training dataset in the cloud without any masking.
   • DDelete all patient records immediately after model training to eliminate breach risk, and rely on the model's learned parameters as the only retained artifact.
   Reveal Solution Discussion Select an answer first