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DY0-001 · Question #30

A data scientist is preparing to brief a non-technical audience that is focused on analysis and results. During the modeling process, the data scientist produced the following artifacts: - Charts…

The correct answer is A. Final charts and dashboards B. Model selection, justification, and purpose. Including final charts and dashboards provides clear visual summaries that are easy to understand and engage a non-technical audience. Explaining model selection, justification, and purpose helps convey the reasoning behind the analysis in plain language, making the results…

Data-driven Decision Making

Question

A data scientist is preparing to brief a non-technical audience that is focused on analysis and results. During the modeling process, the data scientist produced the following artifacts:

  • Charts and dashboards
  • Model performance statistics (accuracy, precision, recall, F1 score,

etc.)

  • Mathematical descriptions of clustering algorithms included in the

selected model

  • Model selection, justification, and purpose
  • Code documentation
  • Data dictionary

Which of the following artifacts should the data scientist include in the briefing? (Choose two.)

Options

  • AFinal charts and dashboards
  • BModel selection, justification, and purpose
  • CCode documentation
  • DMathematical descriptions of clustering algorithms included in the selected model
  • EModel performance statistics (accuracy, precision, recall, F1_ score, etc.)
  • FData dictionary

How the community answered

(42 responses)
  • A
    69% (29)
  • C
    17% (7)
  • D
    5% (2)
  • E
    7% (3)
  • F
    2% (1)

Explanation

Including final charts and dashboards provides clear visual summaries that are easy to understand and engage a non-technical audience. Explaining model selection, justification, and purpose helps convey the reasoning behind the analysis in plain language, making the results relevant and actionable. Detailed technical elements such as code documentation, mathematical descriptions, and detailed performance statistics are generally too complex for non-technical audiences and should be avoided or simplified.

Topics

#stakeholder communication#non-technical audience#model reporting#data presentation

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