DA0-002 Data Governance Practice Question
A logistics company tracks delivery times and customer satisfaction scores. The data analyst finds that delivery times have increased over the past quarter, correlating with a drop in satisfaction. The analyst needs to present this to the operations team, which is interested in root cause analysis. The team wants to identify whether the increase is due to specific regions, routes, or time periods. The analyst has access to granular data including timestamps, route IDs, and region codes. The presentation should lead to actionable insights for process improvement. What visualization should the analyst use as the primary chart?
⚠ Common exam trap
A common mix-up: candidates choose a scatter plot (Option A) because it shows correlation, but the question specifically requires identifying root causes by region, route, or time period, which a scatter plot cannot address without additional dimensions.
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 line chart showing delivery times and satisfaction over time.
A line chart with dual axes (or separate panels) can clearly show the trend of delivery times and satisfaction scores over the same time period, directly addressing the operations team's need to identify whether the increase is due to specific time periods. This visualization allows the team to correlate changes in delivery times with satisfaction drops over time, supporting root cause analysis by highlighting temporal patterns. The granular timestamp data makes a time-series line chart the most effective primary chart for revealing trends and potential seasonality.
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 scatter plot of delivery time vs. satisfaction.
Why it's wrong here
Shows correlation but not time progression, making root cause identification harder.
- ✓
A line chart showing delivery times and satisfaction over time.
Why this is correct
Clearly visualizes trends and correlation, enabling root cause analysis.
- ✗
A histogram of delivery times.
Why it's wrong here
Does not include satisfaction data or time trend.
- ✗
A pie chart showing proportion of late deliveries.
Why it's wrong here
Does not show trend over time or correlation with satisfaction.
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Written by Johnson Ajibi, MSc IT Security
Senior Network & Security Engineer · founder of Courseiva
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