Data Management Controls AAISM Practice Questions (Page 4)

Questions 16–20

1. 16expert · hard

   A global bank is deploying an AI system for credit scoring. The system uses data from multiple countries, each with different data protection regulations. The bank must ensure that data lineage is documented for audit purposes while also complying with data residency requirements. Which approach best balances these needs?

   • AMaintain data in each region and document lineage locally, with a global metadata repository.
   • BAnonymize all data before processing to avoid data residency issues.
   • CUse a single global data lineage tool that stores lineage metadata in the cloud.
   • DCentralize all data in a single region to simplify lineage documentation.
   Reveal Solution Discussion Select an answer first
2. 17application · medium

   An e-commerce company stores customer interaction logs used to train a recommendation AI. The logs contain personal data and are subject to a 12-month retention policy. After 12 months, the logs must be disposed of securely. Which disposal method is most appropriate?

   • AAnonymize the logs instead of deleting them.
   • BDelete the logs from the primary storage and empty the recycle bin.
   • COverwrite the storage media with random data multiple times.
   • DUse a secure deletion tool that overwrites the data and verifies its removal.
   Reveal Solution Discussion Select an answer first
4. 18foundation · easy

   Which data quality dimension ensures that data represents the true state of the entity it describes?

   • ACompleteness
   • BTimeliness
   • CAccuracy
   • DConsistency
   Reveal Solution Discussion Select an answer first
5. 19expert · hard

   A social media company uses AI to recommend content. The data includes user behavior and demographic information. The company wants to protect user privacy while maintaining the quality of recommendations. They are considering differential privacy. Which implementation best balances privacy and utility?

   • ARemove all demographic information from the dataset.
   • BAdd a small amount of noise to the data before training.
   • CEncrypt the data and store it in a secure environment.
   • DUse k-anonymity to generalize the data.
   Reveal Solution Discussion Select an answer first
6. 20foundation · easy

   What does data provenance in an AI pipeline primarily document?

   • AThe storage location and backup schedule of the data
   • BThe access permissions of users who can view the data
   • CThe classification level assigned to the data
   • DThe origin and history of the data, including its sources and transformations
   Reveal Solution Discussion Select an answer first