A data analyst needs to visualize the distribution of customer ages for a marketing campaign. The ages range from 18 to 80. The analyst wants to show the shape of the distribution, including any peaks and gaps. Which chart type is most appropriate?

A histogram with age bins on the x-axis and frequency on the y-axis

A pie chart showing the proportion of customers in each age decade

A bar chart with each individual age on the x-axis

A line chart connecting the frequency of each age

An analyst is creating a visualization to show the trend of website traffic over the past year. The data was aggregated from a web analytics tool. Before building the chart, the analyst notices that the data for one month is missing. What is the most appropriate action?

Ignore the missing data and build the chart as-is

Investigate the cause of the missing data and clearly annotate the gap in the visualization

Remove the missing month and connect the line across the gap

Fill in the missing month with the average of the surrounding months

A data analyst is preparing a visualization from a dataset that has been cleaned and transformed. What is the most important step to ensure data accuracy and integrity before creating the visualization?

Verifying that the data transformations were applied correctly and match the original source

Choosing a visually appealing color palette

Selecting the chart type that is most popular

Adding a title that summarizes the data

A logistics company wants to visualize the relationship between delivery distance (in miles) and delivery time (in hours) for thousands of shipments. The goal is to see if there is a correlation. Which chart type is most appropriate?

A scatter plot with distance on the x-axis and time on the y-axis

A bar chart showing average delivery time for each distance bucket

A pie chart showing the proportion of shipments by distance category

A line chart connecting the data points in the order they were collected

A data analyst is designing a dashboard for a global audience. The dashboard uses color to indicate performance status (e.g., good, warning, poor). What is a critical design consideration for this audience?

Ensure the color choices are distinguishable for people with color vision deficiency

Rely solely on color to convey the status information

Use as many colors as possible to make the dashboard visually appealing

Use the same color for all statuses to keep the design consistent

Dell Data Science Foundations

Domain 6Objective 3

Describe Best Practices for Planning and Creating Effective Data Visualizations DATA-SCIENCE-FOUNDATIONS Practice Questions (Page 4)

Part of the Operationalizing an Analytics Project and Data Visualization Techniques domain, which accounts for 10% of the DATA-SCIENCE-FOUNDATIONS exam.

24questions here

5free pages

5concepts

10%of the exam

Questions 16–20

16expert · medium
A data analyst needs to visualize the distribution of customer ages for a marketing campaign. The ages range from 18 to 80. The analyst wants to show the shape of the distribution, including any peaks and gaps. Which chart type is most appropriate?
Select an answer first
17application · medium
An analyst is creating a visualization to show the trend of website traffic over the past year. The data was aggregated from a web analytics tool. Before building the chart, the analyst notices that the data for one month is missing. What is the most appropriate action?
Select an answer first
18foundation · easy
A data analyst is preparing a visualization from a dataset that has been cleaned and transformed. What is the most important step to ensure data accuracy and integrity before creating the visualization?
Select an answer first
19application · medium
A logistics company wants to visualize the relationship between delivery distance (in miles) and delivery time (in hours) for thousands of shipments. The goal is to see if there is a correlation. Which chart type is most appropriate?
Select an answer first
20application · medium
A data analyst is designing a dashboard for a global audience. The dashboard uses color to indicate performance status (e.g., good, warning, poor). What is a critical design consideration for this audience?
Select an answer first

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