What is a key benefit of adding interactivity to a dashboard?

It allows users to explore the data at their own pace and focus on what is relevant to them

It guarantees that all users will interpret the data the same way

It automatically increases the accuracy of the underlying data

It eliminates the need for clear labels and titles

A data analyst is building a dashboard in Snowsight for a sales team. The team wants to see the same dashboard with different date ranges (e.g., last 7 days, last 30 days). What is the most efficient way to achieve this?

Create three separate dashboards for each date range

Add a date range filter to the dashboard

Ask the team to run SQL queries to change the date range

Use a static chart with a fixed date range

A data analyst is creating a dashboard for a public-facing website. The dashboard will be used by a diverse audience, including people with visual impairments and color vision deficiency. The analyst wants to ensure the dashboard is accessible to all users. Which approach is most comprehensive?

Use a colorblind-safe palette, provide alt text for all charts, and ensure keyboard navigability

Use a high-contrast color scheme only

Provide a downloadable PDF version of the dashboard

Use a simple layout with large fonts

Which practice is an example of applying accessibility best practices to a data visualization?

Using color as the only way to distinguish categories

Using a low-contrast color scheme to make the chart aesthetically pleasing

Providing alt text for charts that describes the key takeaway

Relying on hover tooltips to display all data labels

A data analyst is creating a report for a client who is not familiar with data analysis. The report includes a chart showing the number of support tickets by category. What is the best way to present this data?

Use a horizontal bar chart with categories sorted in descending order and clear labels

Use a 3D pie chart with many slices

Use a line chart with categories on the x-axis

Snowflake SnowPro Advanced:Data Analyst

Domain 2Objective 1

Present and Visualize Data SNOWPRO-ADVANCED-DATA-ANALYST Practice Questions (Page 4)

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 16–20

16foundation · easy
What is a key benefit of adding interactivity to a dashboard?
Select an answer first
17application · medium
A data analyst is building a dashboard in Snowsight for a sales team. The team wants to see the same dashboard with different date ranges (e.g., last 7 days, last 30 days). What is the most efficient way to achieve this?
Select an answer first
18expert · hard
A data analyst is creating a dashboard for a public-facing website. The dashboard will be used by a diverse audience, including people with visual impairments and color vision deficiency. The analyst wants to ensure the dashboard is accessible to all users. Which approach is most comprehensive?
Select an answer first
19foundation · easy
Which practice is an example of applying accessibility best practices to a data visualization?
Select an answer first
20application · medium
A data analyst is creating a report for a client who is not familiar with data analysis. The report includes a chart showing the number of support tickets by category. What is the best way to present this data?
Select an answer first

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