CompTIA DataX (DY0-001) — Question 66

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.)

Answer options

• A. Final charts and dashboards
• B. Model selection, justification, and purpose
• C. Code documentation
• D. Mathematical descriptions of clustering algorithms included in the selected model
• E. Model performance statistics (accuracy, precision, recall, F1 score, etc.)
• F. Data dictionary

Correct answer: A

Explanation

The correct answers are A and B because the audience is non-technical and would benefit from visual representations of the data (charts and dashboards) and a clear understanding of model selection and its rationale. The other options, such as code documentation and mathematical descriptions, are too technical for this audience, and while model performance statistics are important, they may not be as visually impactful as charts.