Communicate Analytical Results SNOWPRO-ADVANCED-DATA-ANALYST Practice Questions (Page 3)

Questions 11–15

1. 11application · medium

   An analyst has created a dashboard for a marketing team showing website traffic sources. The team's primary goal is to see which channel (Organic Search, Paid Ads, Social Media, or Email) drove the most conversions last month. The analyst wants to make this key insight immediately obvious. What is the best way to use annotations and highlights?

   • AUse a table with all the data and manually bold the entire row of the highest-converting channel.
   • BUse a pie chart and add a legend that lists all channels with their percentages, without any special emphasis on the highest one.
   • CUse a line chart and add a data point marker on the highest value, but keep all lines the same color to avoid bias.
   • DUse a bar chart and apply a distinct, brighter color to the bar representing the channel with the highest conversions, and add a text label with the exact conversion number on that bar.
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2. 12foundation · easy

   An analyst wants to emphasize a significant spike in website traffic during a specific week. Which technique is most effective?

   • AAdd a text callout and a contrasting color to the spike point.
   • BRemove all other data points from the chart.
   • CIncrease the chart's axis scale to make the spike appear smaller.
   • DUse the same color for all data points to avoid distraction.
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4. 13application · medium

   A data analyst at a retail company has completed a sales analysis and needs to present the findings to two different audiences: the executive leadership team and the regional store managers. The executives need a high-level summary of overall revenue trends and strategic insights, while the store managers need actionable details about product-level performance in their specific regions. What is the most appropriate approach for the analyst to take?

   • ACreate one comprehensive report that includes all details, and present the same version to both audiences to ensure consistency.
   • BPresent the detailed product-level data to the executives first, and then let them decide what information to share with the store managers.
   • CFocus only on the executive presentation, as their approval is more critical for the company's strategic direction.
   • DPrepare two separate presentations: a high-level summary with key trends for executives, and a detailed regional breakdown with product-level insights for store managers.
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5. 14foundation · easy

   What is a common cause of misleading data visualizations?

   • AIncluding a clear title and axis labels.
   • BUsing a bar chart to compare categories.
   • CUsing a line chart for time series data.
   • DManipulating the axis scale to exaggerate trends.
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6. 15application · medium

   A data analyst needs to visualize the change in monthly active users (MAU) over the past 24 months for a product team. The team wants to see the overall trend clearly and also identify the specific month where a major feature launch caused a significant spike. Which visualization approach would be most effective?

   • AA line chart showing MAU over time, with a callout annotation on the spike month and a brief label explaining the feature launch.
   • BA scatter plot with MAU on the y-axis and month number on the x-axis, using color to indicate the feature launch month.
   • CA bar chart with each bar representing a month, but with no labels or annotations on the spike.
   • DA pie chart showing the proportion of MAU in each of the 24 months.
   Reveal Solution Discussion Select an answer first