Communicate Analysis Results DA0-001 Practice Questions (Page 2)

Questions 6–10

1. 6application · medium

   A data analyst has analyzed website traffic data and found that the bounce rate is higher for mobile users. The analyst needs to present this finding to the web development team, who are not data analysts but understand web metrics. How should the analyst present the finding?

   • AUse a technical term like 'bounce rate' without explaining it, assuming the team knows it.
   • BShow a simple bar chart comparing bounce rates for mobile and desktop users, with a brief explanation.
   • CProvide a detailed report with all the data points and let the team draw their own conclusions.
   • DPresent a complex statistical model showing the relationship between device type and bounce rate.
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2. 7application · medium

   A data analyst at a regional hospital has completed a study on patient readmission rates. The hospital's board of directors, who are not data professionals, will use the findings to decide on budget allocations. The analyst needs to present the results in a way that supports their decision-making. What is the most appropriate approach?

   • APresent a high-level summary with clear visualizations, focusing on key findings and their implications for the budget.
   • BEmail the full dataset and let each board member explore the numbers independently.
   • CProvide a detailed technical report with regression coefficients and p-values for each variable.
   • DDeliver a verbal presentation that focuses on the methodology and data cleaning steps.
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4. 8foundation · easy

   An analyst needs to show how website traffic has changed over the past 12 months. Which visualization technique is most appropriate?

   • ALine chart
   • BPie chart
   • CBar chart
   • DScatter plot
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5. 9application · medium

   A data analyst needs to present the results of a survey on employee satisfaction, broken down by department. The audience is the HR department, who are not data analysts but understand the business context. Which visualization would be most effective?

   • AA scatter plot with department on the x-axis and satisfaction score on the y-axis.
   • BA line chart showing satisfaction scores over time for each department.
   • CA pie chart showing the overall satisfaction distribution across all departments combined.
   • DA stacked bar chart showing the proportion of satisfied, neutral, and dissatisfied responses for each department.
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6. 10application · medium

   A data analyst is preparing a presentation for a mixed audience that includes both technical data scientists and non-technical business stakeholders. The topic is a predictive model for customer lifetime value. How should the analyst structure the presentation to effectively communicate to both groups?

   • APresent the technical details first, then summarize for the non-technical stakeholders at the end.
   • BStart with a high-level summary of the model's business impact, then offer a technical appendix for the data scientists.
   • CFocus only on the technical aspects, assuming the business stakeholders can ask questions later.
   • DUse the same level of detail for both groups to avoid confusion.
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