CompTIA DataX DY0-001 (V1) Practice Question

A banking analytics team is preparing to open-source its credit-risk model. While the model code and training pipeline are fully version-controlled in Git and Data Version Control (DVC), auditors will later need to confirm exactly which input fields were used and how each field was defined when the model was trained. According to best practices for reference data and documentation, which additional artifact should the team commit to the repository before release?

  • A note in the project README instructing users to query the production database for column details.

  • The serialized binary of the trained model (model.pkl) stored in the repository's artifacts directory.

  • A static screenshot of the data-warehouse entity-relationship diagram saved in a slide deck.

  • A version-controlled data dictionary file (for example, docs/data_dictionary.md) describing each feature's name, meaning, data type, and valid value range.

CompTIA DataX DY0-001 (V1)
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