Effective Communication of Data Insights PCAD-31 Practice Questions (Page 4)

Questions 16–20

1. 16foundation · easy

   A data analyst is preparing a presentation for a group of executives who will use the findings to make a strategic business decision. Which audience characteristic is most important to consider when planning the communication?

   • ATheir preference for detailed technical explanations of every analytical method used
   • BTheir focus on actionable insights and the business impact of the findings
   • CTheir interest in seeing every data quality issue encountered during the analysis
   • DTheir ability to interpret complex statistical formulas without any simplification
   Reveal Solution Discussion Select an answer first
2. 17foundation · easy

   An analyst is organizing a presentation about customer churn. Which structure best demonstrates a logical flow?

   • AStart with the conclusion, then present all the supporting data, and end with the methodology
   • BPresent the data in the order it was collected, regardless of relevance
   • CList all the visualizations first, then provide all the textual explanations at the end
   • DBegin with the business problem, present relevant data and analysis, and conclude with insights and recommendations
   Reveal Solution Discussion Select an answer first
4. 18expert · hard

   A data analyst is analyzing employee productivity data. The analysis reveals that employees who work from home (WFH) are 20% more productive than office workers. However, a deeper look shows that the WFH group is predominantly composed of senior engineers, while the office group has a higher proportion of junior staff. The analyst must present this to the HR director, who is considering a full remote-work policy. What is the most responsible key finding to present?

   • AWorking from the office is not the cause of lower productivity; the real issue is the lack of senior staff in the office.
   • BThe data shows a correlation between WFH and higher productivity, but the difference may be due to the higher proportion of senior staff in the WFH group, so further analysis is needed.
   • CThe productivity data is too complex to draw any conclusions, so no recommendation should be made.
   • DWorking from home increases productivity by 20%, supporting the remote-work policy.
   Reveal Solution Discussion Select an answer first
5. 19foundation · easy

   An analyst needs to compare the market share of five competing products at a single point in time. Which visualization type is most suitable for this comparison?

   • AScatter plot
   • BPie chart
   • CLine chart
   • DHistogram
   Reveal Solution Discussion Select an answer first
6. 20expert · hard

   A data analyst is analyzing sales data for a retail chain. The analysis shows that stores in urban areas have 30% higher sales than stores in rural areas. However, the analyst also notes that urban stores have larger floor space and more staff. The analyst must present this to the regional managers, who want to know if they should focus their efforts on urban or rural stores. What is the most accurate key finding to present?

   • ARural stores are underperforming and need more investment to catch up to urban stores.
   • BUrban stores have higher sales, but this may be due to their larger size and more staff, so a direct comparison of sales-per-square-foot or sales-per-employee is needed.
   • CThe sales data is inconclusive and no recommendation can be made.
   • DUrban stores are more successful and should be the primary focus for future investment.
   Reveal Solution Discussion Select an answer first