Databricks-DA-Assoc Creating Dashboards and Visualizations Practice Question
Which visualization type is most appropriate for displaying the distribution of a single continuous numerical variable, such as transaction amounts, in a Databricks Dashboard?
⚠ Common exam trap
Candidates often confuse continuous numerical distributions with categorical data, mistakenly choosing bar charts instead of histograms.
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
✓
Histogram
Histograms are specifically designed to display the frequency distribution of continuous numerical variables by grouping data into contiguous bins. Choosing the correct visualization ensures that stakeholders can instantly identify data skewness, central tendencies, and outliers without misinterpreting the underlying statistical distribution.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Pie chart
Why it's wrong here
A pie chart represents parts of a whole across categorical segments, so continuous transaction amounts would need arbitrary binning first. It suits proportional breakdowns by category, not the shape, spread or skew of one continuous numerical variable.
- ✗
Line plot
Why it's wrong here
A line plot connects points in sequence, implying an ordered or temporal x-axis, which misrepresents unordered transaction amounts. It suits trends over time, whereas distribution of one continuous variable requires binning values into a histogram.
- ✓
Histogram
Why this is correct
Histograms aggregate continuous numerical data into distinct intervals or bins, plotting frequency counts on the vertical axis. This makes them the definitive choice for analyzing the statistical distribution and spread of metrics like transaction amounts.
- ✗
Scatter plot
Why it's wrong here
A scatter plot encodes two numerical variables as x and y positions, so a single variable has no second axis to plot against. It suits correlation or relationship analysis between paired measures, not the frequency distribution of one continuous field, which a histogram shows.
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JA
Written and reviewed by Johnson Ajibi, MSc IT Security
Senior Network & Security Engineer · founder of Courseiva
Last reviewed September 2026 · checked against the official Databricks exam blueprint
This Databricks-DA-Assoc practice question is part of Courseiva's free Databricks 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 Databricks-DA-Assoc exam.