Communicate Analytical Results SNOWPRO-ADVANCED-DATA-ANALYST Practice Questions (Page 2)

Questions 6–10

1. 6foundation · easy

   Which structure best exemplifies a data storytelling technique for presenting analytical results?

   • ABeginning with the data collection process, then the analysis steps, and finally the raw data tables.
   • BListing all findings in alphabetical order without any narrative flow.
   • CStarting with a compelling insight, providing supporting evidence, and ending with a call to action.
   • DPresenting the conclusion first, then the data, and then the methodology.
   Reveal Solution Discussion Select an answer first
2. 7foundation · easy

   A data analyst is creating a report for a non-technical business stakeholder who wants to understand customer churn. Which communication approach is most appropriate?

   • AFocus on the statistical methods used to model churn probability.
   • BPresent only the raw churn data tables without any interpretation.
   • CUse plain language and visual summaries to explain churn trends and their business impact.
   • DProvide the full SQL code used to extract the churn data.
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4. 8foundation · easy

   Which practice ensures a data visualization is not misleading?

   • AUsing a consistent scale for all comparable charts.
   • BStarting the y-axis at a value other than zero to emphasize differences.
   • CSelecting colors based on personal preference.
   • DUsing 3D effects to make the chart more visually appealing.
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5. 9application · medium

   A data analyst needs to deliver a summary of a complex predictive model's performance to a non-technical business stakeholder. The stakeholder only wants to know if the model is good enough to use for next quarter's planning. What is the most effective way to communicate this insight?

   • AProvide a high-level summary stating that the model's accuracy is within the acceptable range for planning purposes, and briefly mention what it means in business terms.
   • BShow a complex confusion matrix and ROC curve, and let the stakeholder interpret the results.
   • CPresent the model's technical documentation and ask the stakeholder to review it before the next meeting.
   • DExplain the model's precision, recall, and F1-score in detail, using technical terms to ensure accuracy.
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6. 10foundation · easy

   What is the purpose of using annotations in a data visualization?

   • ATo provide additional context and highlight important data points.
   • BTo replace the need for a title and axis labels.
   • CTo add decorative elements that make the chart look more complex.
   • DTo hide data that does not support the main message.
   Reveal Solution Discussion Select an answer first