Convey Data Understanding to Leadership PMI-CPMAI Practice Questions (Page 6)

Questions 26–30

1. 26application · medium

   A data analyst is explaining the results of a data clustering analysis to the head of product. The analysis grouped customers into segments based on usage patterns. The head of product wants to know how to use these segments to improve the product. What is the best way to convey this?

   • ADescribe the technical details of the clustering algorithm, such as the distance metric used.
   • BProvide a spreadsheet with the cluster assignments for all customers, so the product head can analyze it.
   • CRecommend a specific product feature to build, without explaining how the clusters inform that decision.
   • DPresent a visual of the clusters with labels like 'Power Users' and 'Casual Users', and explain the different needs of each segment.
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2. 27application · medium

   A data analyst is creating a dashboard for the executive team to monitor sales performance. The dashboard will be reviewed monthly. Which design choice best supports effective decision-making?

   • AUse a variety of chart types, including 3D pie charts, to make the dashboard visually appealing.
   • BProvide raw data tables alongside the charts so leaders can verify the numbers.
   • CInclude as many metrics as possible to provide a complete view of the business.
   • DFocus on a few key performance indicators (KPIs) with clear labels and a consistent layout.
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4. 28application · medium

   A data analyst needs to explain a machine learning model's output to the marketing director. The model predicts customer churn. The director wants to know which customers are at risk and why. What is the best way to convey this?

   • AShow a list of the top 10 customers with the highest churn probability, with a technical explanation of the model's algorithm.
   • BRecommend a specific retention campaign for all customers, without distinguishing between high and low risk.
   • CProvide a detailed report on the model's accuracy, precision, and recall metrics.
   • DPresent a visual showing the key factors driving churn, such as 'low engagement' and 'recent complaints', alongside a list of at-risk customers.
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5. 29foundation · easy

   What is a key principle of designing a data visualization for a leadership audience?

   • AKeep the visualization simple and focused on the key message
   • BUse complex 3D effects to make the chart visually appealing
   • CInclude as much data as possible to show thoroughness
   • DRely on the audience to interpret the chart without labels
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6. 30expert · hard

   A data analyst is preparing a presentation for the executive team on the results of a customer satisfaction survey. The survey data shows that overall satisfaction is high, but satisfaction among customers who use the mobile app is significantly lower. The executive team is considering a major investment in the mobile app. The analyst needs to present the data in a way that supports the investment decision. Which approach is most effective?

   • AShow a comparison of satisfaction scores between mobile app users and other users, with a clear explanation of the potential impact on the app investment.
   • BPresent a single overall satisfaction score to keep the message simple and positive.
   • CPresent a detailed breakdown of survey responses by every demographic group, to be thorough.
   • DRecommend investing in the mobile app without showing the survey data, to keep the presentation short.
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