Describe Best Practices for Building Project Presentations for Specific Audiences DATA-SCIENCE-FOUNDATIONS Practice Questions (Page 2)

Questions 6–10

1. 6expert · hard

   A data analyst is creating a dashboard for a hospital's administrators to monitor patient wait times. The administrators need to quickly identify problem areas and make operational decisions. The analyst has access to detailed data including patient demographics, time of day, and department. Which visualization approach best supports the administrators' needs?

   • AA simple bar chart showing average wait time by department, with a color-coded threshold for acceptable wait times.
   • BA complex scatter plot showing wait time versus patient age, with different colors for each department.
   • CA line chart showing wait time trends over the past year for each department, without highlighting current issues.
   • DA table listing all departments with their average wait times, sorted alphabetically.
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2. 7application · medium

   A data science team has developed a recommendation engine for an e-commerce company. They must present the results to the CEO, who is time-constrained and wants to know whether to invest more in this project. Which presentation approach best supports the CEO's decision?

   • APresent a detailed technical comparison of the recommendation algorithm against several baselines, including precision and recall metrics.
   • BTell a story: start with a customer's journey that shows the problem, present the model's impact on conversion and revenue, and end with a clear recommendation to invest.
   • CShow a list of all the features used in the model and explain how each was engineered.
   • DProvide a comprehensive report of all model limitations and potential risks, without a clear recommendation.
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4. 8application · medium

   A data analyst is presenting a new customer segmentation analysis to the marketing team. The team is known to be skeptical of new models and prefers to ask questions during the presentation. The analyst wants to ensure the team stays engaged and retains the key insights. Which delivery technique is most effective?

   • AUse a monotone voice and avoid eye contact to remain neutral and objective.
   • BRead directly from the slides to ensure all technical details are accurately conveyed.
   • CSpeak quickly to cover all the material and save questions for the very end.
   • DPause after each major segment to invite questions and clarify how the segment aligns with their current campaigns.
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5. 9application · medium

   A data science team is presenting a new fraud detection model to the company's risk committee. The committee is composed of senior managers who need to understand the model's value and approve its deployment. Which presentation structure is most appropriate?

   • APresent a comprehensive list of all potential fraud scenarios and how the model handles each one.
   • BBegin with a detailed explanation of the model's algorithm and feature engineering, then show the ROC curve.
   • CStart with the financial impact of fraud, present the model's detection rate and reduction in losses, and end with a clear request for approval.
   • DShow the model's precision and recall scores first, then discuss the trade-offs between false positives and false negatives.
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6. 10expert · hard

   A data science team must present the same analytics project to two different audiences on the same day: a technical review board that will evaluate the model's soundness, and a business steering committee that will decide on funding. The team has only one hour for each presentation. What is the best approach?

   • AFocus on the business impact for both audiences, since the technical review board can read the code later.
   • BCreate two separate presentations: one with deep technical details for the review board, and one with business impact and recommendations for the steering committee.
   • CUse the same presentation for both audiences, but add a technical appendix for the review board.
   • DPresent the technical details first to the review board, then reuse the same slides for the steering committee, skipping the technical parts.
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