Which design practice best supports effective communication of key metrics in a dashboard?

Placing the most important metric in a prominent position, such as the top-left corner

Using a different color for every chart to make the dashboard visually interesting

Placing all charts in a single row to avoid scrolling

Including as many charts as possible to provide comprehensive information

A data analyst is creating a report for a non-technical audience. The report includes a chart that shows the distribution of customer ages. The analyst wants to ensure the chart is easy to understand. What should the analyst do?

Use a complex 3D chart with many colors

Use a scatter plot with a trend line

Use a simple bar chart with clear labels and a title

Use a table with raw data instead of a chart

What is the primary purpose of storytelling with data?

To include as many visualizations as possible to show thorough analysis

To replace the need for accurate data with a compelling narrative

To make the data more entertaining, even if the message is unclear

To present data in a way that guides the audience toward a specific insight or decision

Which practice is most consistent with the principle of clarity in data presentation?

Using a 3D pie chart with many slices to show proportions

Labeling axes clearly and providing a descriptive title

Using a color scheme that is aesthetically pleasing but has low contrast

Including complex gridlines and background patterns to add detail

A data analyst is preparing a presentation for the board of directors to explain why customer churn has increased. The analyst has data on churn rates, customer satisfaction scores, and competitor pricing. What is the most effective way to structure the narrative?

Present the data in random order to keep the audience engaged

Start with the churn trend, then show customer satisfaction and competitor pricing as potential causes, and end with recommendations

Present all data in a single dense chart without explanation

Start with the recommendations, then show the data

Snowflake SnowPro Advanced:Data Analyst

Domain 2Objective 1

Present and Visualize Data SNOWPRO-ADVANCED-DATA-ANALYST Practice Questions (Page 1)

Part of the Data Presentation and Visualization domain, which accounts for 28% of the SNOWPRO-ADVANCED-DATA-ANALYST exam.

25questions here

5free pages

6concepts

28%of the exam

Questions 1–5

1foundation · easy
Which design practice best supports effective communication of key metrics in a dashboard?
Select an answer first
2application · medium
A data analyst is creating a report for a non-technical audience. The report includes a chart that shows the distribution of customer ages. The analyst wants to ensure the chart is easy to understand. What should the analyst do?
Select an answer first
3foundation · easy
What is the primary purpose of storytelling with data?
Select an answer first
4foundation · easy
Which practice is most consistent with the principle of clarity in data presentation?
Select an answer first
5application · medium
A data analyst is preparing a presentation for the board of directors to explain why customer churn has increased. The analyst has data on churn rates, customer satisfaction scores, and competitor pricing. What is the most effective way to structure the narrative?
Select an answer first

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