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DA0-002 Visualization and Reporting Practice Question

A data analyst needs to present the correlation between advertising spend and website traffic. Which chart type is most appropriate?

⚠ Common exam trap

Candidates often choose a line chart because they mistakenly think 'correlation' implies a trend over time, but the DA0-001 exam specifically tests that scatter plots are the standard for bivariate correlation analysis without a temporal component.

Answer choices

Why each option matters

Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.

Correct answer & explanation

Scatter plot

A scatter plot is the most appropriate chart type for visualizing the correlation between two continuous variables, such as advertising spend and website traffic. It displays individual data points on a Cartesian plane, allowing the analyst to assess the strength, direction, and form of the relationship (e.g., linear, non-linear, or no correlation). This aligns with the DA0-001 objective of selecting the correct visualization for bivariate analysis.

Answer analysis

Option-by-option breakdown

For each option: why learners choose it and why it is or isn't the right answer here.

  • Bar chart

    Why it's wrong here

    Bar charts compare discrete categories, not correlation.

  • Line chart

    Why it's wrong here

    Line charts are for time series trends.

  • Pie chart

    Why it's wrong here

    Pie charts show parts of a whole.

  • Scatter plot

    Why this is correct

    Scatter plots reveal relationships between two variables.

About these practice questions

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Written by Johnson Ajibi, MSc IT Security

Senior Network & Security Engineer · founder of Courseiva

This DA0-002 practice question is part of Courseiva's free CompTIA certification practice question bank. Courseiva provides original exam-style practice questions with explanations, topic-based practice, mock exams, readiness tracking, and study analytics to help learners prepare for the DA0-002 exam.