Communicate Analysis Results DA0-001 Practice Questions (Page 4)

Questions 16–20

1. 16foundation · easy

   An analyst is preparing a report on customer churn for the customer service team. Which audience characteristic is most important for the analyst to consider?

   • AThe team's level of technical expertise and their familiarity with statistical terms
   • BThe team's budget for data analysis tools
   • CThe team's office location and time zone
   • DThe team's preferred color scheme for charts
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2. 17application · medium

   A data analyst needs to show the relationship between advertising spend and sales revenue for the past year. The audience is the marketing team, who are familiar with business metrics but not with statistical analysis. Which visualization would be most effective?

   • AA pie chart showing the proportion of total revenue from each advertising channel.
   • BA line chart with time on the x-axis and two lines, one for spend and one for revenue.
   • CA bar chart with advertising spend on the x-axis and sales revenue on the y-axis.
   • DA scatter plot with advertising spend on the x-axis and sales revenue on the y-axis.
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4. 18foundation · easy

   An analyst is preparing to present quarterly sales data to the company's executive leadership team. Which audience characteristic should most influence how the analyst presents the findings?

   • AThe executives' preference for raw data tables over visual summaries
   • BThe executives' ability to write SQL queries to verify the data
   • CThe executives' need for a high-level summary with key insights and actionable recommendations
   • DThe executives' familiarity with the technical details of the data pipeline
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5. 19application · medium

   A data analyst is preparing a presentation on the results of a clinical trial for two different audiences: the medical research team and the hospital's administrative board. The research team wants to see the statistical significance and confidence intervals, while the board wants to know the potential impact on patient care and costs. How should the analyst approach this?

   • AProvide the raw data to both groups and let them interpret it themselves.
   • BFocus only on the clinical implications for both groups, as that is the most important outcome.
   • CPresent the same detailed statistical analysis to both groups to ensure accuracy.
   • DPresent the statistical details to the research team and a summary of the clinical and financial implications to the board.
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6. 20application · medium

   A data analyst has completed a complex analysis of customer churn for a telecommunications company. The results will be presented to the customer service managers, who are not familiar with predictive modeling. The analyst wants to ensure the managers understand the key drivers of churn. What should the analyst do?

   • AUse a simple bar chart showing the top three reasons for churn, explained in plain language.
   • BAsk the managers to read the technical report and submit questions via email.
   • CProvide the full list of variables used in the model with their coefficients.
   • DPresent the model's accuracy metrics and ROC curve to demonstrate its validity.
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