NCA-GENL Data Analysis and Visualization Practice Question
A team is comparing two LLM checkpoints on a summarization benchmark. They want a single visualization that shows, for each evaluation metric, both the mean score and the spread across the benchmark's document categories, while making it easy to see whether the two checkpoints overlap. Which visualization best fits this requirement?
⚠ Common exam trap
The trap here is choosing a compact summary like a heatmap or line chart and forgetting that the scenario explicitly requires spread and overlap, not just means.
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
✓
A grouped box plot with one box per checkpoint per metric, grouped by metric.
Comparing two checkpoints across multiple metrics while preserving spread calls for a distribution-aware chart. Grouped box plots keep each metric on its own scale, show central tendency and variability, and place the two checkpoints adjacent so overlap is immediately visible. Charts that reduce to means or sums discard the variance the team needs to judge whether differences are meaningful.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
A stacked bar chart of total scores per checkpoint across all metrics.
Why it's wrong here
Stacking sums scores across metrics, which is only meaningful if metrics share a scale and are additive, and it hides per-metric distributions. Overlap between checkpoints cannot be assessed because individual category values are lost. The scenario needs per-metric mean and spread, so this aggregation actively removes the required information.
- ✗
A heatmap of mean scores with checkpoints as rows and metrics as columns.
Why it's wrong here
A heatmap of means shows central values but discards the spread across document categories entirely. Color encoding also makes small differences harder to judge than position or length. Since the scenario demands visibility into both mean and spread plus overlap, a means-only heatmap is insufficient even though it is compact.
- ✗
A single line chart with one line per checkpoint plotting mean score against metric name.
Why it's wrong here
A line chart over categorical metric names implies an ordered progression that does not exist and collapses all category-level spread into a single mean. Reviewers cannot see variance or overlap, which the scenario explicitly requires. It also invites misreading the slope between unrelated metrics as a trend, so it fails the requirement.
- ✓
A grouped box plot with one box per checkpoint per metric, grouped by metric.
Why this is correct
A grouped box plot places distributions side by side for each metric, showing median, interquartile range, and outliers. This exposes both central tendency and spread across document categories, and the side-by-side placement makes overlap between checkpoints visually obvious. It satisfies every element of the scenario in one compact figure.
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Written and reviewed by Johnson Ajibi, MSc IT Security
Senior Network & Security Engineer · founder of Courseiva
Last reviewed September 2026 · checked against the official NVIDIA exam blueprint
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