Effective Communication of Data Insights PCAD-31 Practice Questions (Page 5)

Questions 21–25

1. 21foundation · easy

   What is the main purpose of structuring a data presentation with a logical flow?

   • ATo guide the audience through the narrative in a way that builds understanding step by step
   • BTo include as many visualizations as possible in the presentation
   • CTo make the presentation as short as possible
   • DTo ensure the presentation ends with the most complex finding
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2. 22expert · hard

   A data analyst is preparing a presentation for a mixed audience of data scientists and business stakeholders. The data scientists want to see the technical details of the model (e.g., feature importance, ROC curves), while the business stakeholders want a clear, non-technical summary of the business impact. The analyst has only 20 minutes for the presentation. What is the most effective presentation structure?

   • APresent the business summary first, then the technical details, splitting the time evenly between the two.
   • BStart with the business impact summary, then offer a brief technical appendix for the data scientists, and end with a Q&A.
   • CAsk the audience to vote on which topic to cover, technical or business, at the start of the presentation.
   • DSpend the entire 20 minutes on the technical details of the model, as the data scientists will ask the most questions.
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4. 23foundation · easy

   An analyst has produced a large analysis with many results. What is the first step in extracting the key findings to present?

   • AChoose the results that are easiest to visualize, regardless of their importance
   • BList every result in the order it was generated to ensure nothing is missed
   • CReview the analysis objectives and identify which results directly answer the main questions
   • DAsk a colleague to pick the results they find most interesting
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5. 24application · medium

   A data analyst is analyzing the relationship between advertising spend and sales revenue across 12 different regions. The analyst wants to present the data to show if there is a correlation between the two variables. Which visualization is most appropriate?

   • AA scatter plot with advertising spend on the x-axis and sales revenue on the y-axis, with one point per region.
   • BA line chart showing sales revenue over time.
   • CA bar chart showing total advertising spend per region.
   • DA pie chart showing the proportion of total advertising spend by region.
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6. 25application · medium

   A marketing analyst has completed a study on customer churn. The key finding is that customers who receive fewer than 3 promotional emails per month have a 40% lower churn rate than those who receive more than 10. The analyst needs to present this to the VP of Marketing, who wants to see the relationship between email frequency and churn clearly. Which visualization best conveys this message?

   • AA line chart with email frequency on the x-axis and churn rate on the y-axis.
   • BA pie chart showing the proportion of churned vs. retained customers overall.
   • CA scatter plot of individual customer churn status against email count.
   • DA stacked bar chart of email campaigns by month.
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