A traceable record of where each dataset originated | AIGP
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A traceable record of where each dataset originated: Which description best captures what that activity

AIGP Understanding How to Govern AI Development Easy

Data lineage and provenance is a traceable record of each dataset's origin and how it was transformed.

The question

A governance policy calls for establishing data lineage and provenance for training datasets. Which description best captures what that activity produces? The team wants the definition that matches the objective.

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  1. A traceable record of where each dataset originated and how it changed over time.
    Correct because III.B.2 is about establishing and documenting data lineage and provenance, i.e., origin and transformation history.
  2. A ranked list of model risks ordered by their likelihood and their potential severity.
    Plausible but wrong: that describes a harms matrix (III.A.4), not the origin-and-transformation record of data.
  3. A standardized summary of the model's intended use and performance limits.
    Almost right because both are documentation, but that is a model card (III.C.1), not data provenance.
  4. A schedule stating how often the model is retrained after it is deployed.
    Plausible but wrong: a retraining cadence is a maintenance control (III.C.2), unrelated to data origin tracing.
The trap
Confusing data provenance with model documentation or risk ranking.

How to remember it

Data lineage and provenance is a traceable record of each dataset's origin and how it was transformed.

How many of these would you get right?

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More Understanding How to Govern AI Development questions

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