Crucial Exams

CompTIA DataX DY0-001 (V1) Practice Question

During a post-implementation review, your data-science team is told that its process documentation must satisfy these new constraints:

  • Remains fully human-readable in a terminal-only environment
  • Produces meaningful line-level diffs in Git pull requests
  • Allows the CI pipeline to automatically check for a Model-Version: header
  • Can be rendered to HTML for the corporate knowledge portal without proprietary tooling

Which documentation approach best meets all of these requirements while following life-cycle best practices for using Markdown?

  • Export every tracking notebook to PDF and commit the PDFs to the repository after each change.

  • Commit a README.md to each pipeline directory that begins with YAML front-matter containing the required Model-Version key and uses GitHub-flavored Markdown for the narrative content.

  • Write the documentation in a shared Confluence cloud wiki and store only the page URL in the repository.

  • Keep the notes inside .ipynb notebook cells and rely on specialized notebook-diff tools during code review.

CompTIA DataX DY0-001 (V1)
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