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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…

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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

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Topics

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