Documented data lineage and provenance linking each record | AIGP
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Documented data lineage and provenance linking each record: What does this gap most directly indicate is

AIGP Understanding How to Govern AI Development Hard

Tracing merged records to their source and consent scope requires documented data lineage and provenance.

The question

A regulator asks a company to prove, for a training set assembled from three merged sources, exactly which records came from where and under what consent scope each was collected. The company can show current column schemas but cannot trace records back to their sources. What does this gap most directly indicate is missing?

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  1. Documented data lineage and provenance linking each record to its origin and its permitted scope of use. ✓
    Only lineage/provenance records tie merged records back to their source and consent scope, which the regulator demands.
  2. A data quality assessment confirming the merged set is accurate, complete, and free of duplicate records.
    Almost right as governance, but quality checks do not establish where each record came from or its consent scope.
  3. An access control policy specifying which employees may query the merged dataset once it has been created.
    Plausible but access control governs who reads the data, not the traceability of its origins and permissions.
  4. A model card summarizing the trained system's intended use, performance limits, and evaluation results.
    Plausible but a model card describes the model, not the source-and-consent traceability of the training records.
The trap
Substituting quality, access, or model-card artifacts for actual record-level source-and-consent traceability.

How to remember it

Tracing merged records to their source and consent scope requires documented data lineage and provenance.

How many of these would you get right?

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Part of the Certsqill AIGP question bank · Understanding How to Govern AI Development · Every answer, right and wrong, comes with its own explanation.