Effective Communication of Data Insights PCAD-31 Practice Questions (Page 1)

Questions 1–5

1. 1application · medium

   A data analyst is creating a presentation on sales performance for the last fiscal year. The analysis includes: (1) overall revenue, (2) regional breakdown, (3) top-performing products, and (4) a recommendation for next year's strategy. What is the most logical structure for the presentation?

   • APresent the data in the order it was analyzed: regional breakdown, top products, overall revenue, and then the recommendation.
   • BGroup all the data (revenue, regions, products) into a single appendix and only present the recommendation in the main slides.
   • CBegin with the overall revenue to set the context, then detail the regional and product performance, and conclude with the strategic recommendation.
   • DStart with the recommendation, then show the regional breakdown, top products, and finally the overall revenue.
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2. 2application · medium

   A data analyst is preparing a presentation on customer satisfaction survey results. The audience will include both the company's executive team and the customer support team. The executives are interested in overall trends and strategic implications, while the support team wants to know specific areas for improvement in their daily work. What is the most effective way to structure the presentation for this mixed audience?

   • AAsk the audience to read the full report on their own time and use the presentation for a Q&A session only.
   • BPresent only the overall satisfaction score to avoid boring the executives with operational details.
   • CPresent only the detailed category breakdowns to give the support team the specifics they need.
   • DPresent the overall satisfaction trend first for the executives, then drill down into specific survey categories relevant to the support team's daily tasks.
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4. 3expert · hard

   A data analyst is analyzing the performance of a website's checkout process. The data shows that the checkout completion rate is 60% on desktop and 40% on mobile. The analyst wants to present this finding to a mixed audience of UX designers and business executives. The UX designers need to understand the user flow, while the executives need to understand the revenue impact. Which visualization strategy best serves both audiences?

   • AA single bar chart comparing desktop vs. mobile completion rates.
   • BA funnel chart showing the drop-off at each step of the checkout process, segmented by device, with a text annotation highlighting the 20% gap and its estimated revenue impact.
   • CA pie chart showing the proportion of total completions by device.
   • DA line chart showing the completion rate over time for both devices.
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5. 4foundation · easy

   Why is it important to support key findings with data evidence and logical reasoning?

   • ATo demonstrate that the analyst has done a lot of work
   • BTo make the findings more complex and difficult to challenge
   • CTo make the presentation longer and more comprehensive
   • DTo ensure the conclusions are credible, defensible, and can withstand scrutiny
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6. 5foundation · easy

   After completing a data analysis, an analyst must identify the key findings. What is the primary characteristic of a key finding?

   • AIt is the first result that appears in the output of the analysis code
   • BIt is any result that is statistically significant, regardless of its practical impact
   • CIt is the most complex or statistically sophisticated result in the analysis
   • DIt is a result that is important and relevant to the audience's goals or the business question
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