NCA-GENL Data Analysis and Visualization Practice Question
A team is analyzing an LLM evaluation dataset with thousands of prompts and multiple scoring dimensions such as correctness, fluency, and safety. They want a single visualization that reveals how these dimensions correlate and whether any prompts score unusually on several dimensions at once. Which visualization is most suitable?
⚠ Common exam trap
The trap here is choosing a chart that summarizes scores into one number, which destroys the multidimensional structure the analysis depends on.
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 parallel coordinates plot of the scoring dimensions across prompts.
Parallel coordinates are designed for multivariate data: each dimension gets an axis and each prompt becomes a polyline across them. This exposes correlations between correctness, fluency, and safety and makes multi-dimension outliers visually obvious. Charts that collapse dimensions into averages or single sequences cannot reveal those relationships.
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 score by prompt category.
Why it's wrong here
A stacked bar chart aggregates scores by category and loses the per-prompt multidimensional detail. It cannot expose correlations between scoring dimensions or flag individual prompts that are outliers on multiple dimensions, which is the stated goal.
- ✗
A histogram of the overall average score.
Why it's wrong here
A histogram of the average score collapses all dimensions into one value per prompt, discarding the per-dimension structure. It cannot show correlations among correctness, fluency, and safety or identify prompts that are outliers on multiple dimensions simultaneously.
- ✓
A parallel coordinates plot of the scoring dimensions across prompts.
Why this is correct
Parallel coordinates place each scoring dimension on its own vertical axis and draw one line per prompt across all axes, so patterns and trade-offs between dimensions become visible. Prompts that score unusually on several dimensions appear as lines crossing many axes at extreme values.
- ✗
A single line chart of correctness scores ordered by prompt index.
Why it's wrong here
A line chart of one dimension ordered by index shows a sequence, not relationships among dimensions. It hides fluency and safety entirely and cannot reveal prompts that score unusually across several dimensions, so it does not support the correlation analysis.
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Written and reviewed by Johnson Ajibi, MSc IT Security
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Last reviewed September 2026 · checked against the official NVIDIA exam blueprint
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