Which of the following testing techniques would BEST validate whether an organization's data governance program effectively ensures data quality and integrity for AI model training and deployment?

Question

Options

• APerforming a business impact analysis (BIA) to assess the consequences of AI model failure
• BReviewing the organization's AI software development life cycle documentation
• CConducting a penetration test to identify vulnerabilities in the model
• DAssessing data lineage to verify the traceability of data sources

• A
  3% (1)
• B
  8% (3)
• C
  10% (4)
• D
  80% (32)

Explanation

Assessing data lineage directly validates data governance by tracing data from its origin through every transformation to its final use in AI model training and deployment. This reveals whether data is sourced from approved, reliable systems, whether transformations preserve integrity, and whether the full audit trail exists - all core requirements of a data governance program. A business impact analysis (A) evaluates consequences of failure but does not test data quality. Reviewing SDLC documentation (B) checks procedural compliance, not actual data integrity. Penetration testing (C) identifies security vulnerabilities but does not validate data quality or governance effectiveness.

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