DA0-002 Data Governance Practice Question
A data analyst notices that a line chart showing monthly sales over the past two years has a steep drop in one month. Upon investigation, the analyst discovers that a new sales region was added mid-month and the data was not normalized. Which of the following best practices should the analyst apply to communicate this insight accurately?
⚠ Common exam trap
CompTIA often tests the misconception that simply changing the chart type (Option B) or omitting problematic data (Option A) is acceptable, when the correct approach is to normalize and explain the anomaly to maintain data integrity and clarity.
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
✓
Normalize the sales data by region and explain the data anomaly in the report.
The core issue is that the sales data is not normalized by region, causing a misleading drop when a new region was added mid-month. By normalizing the data (e.g., calculating per-region averages or percentages) and explicitly noting the anomaly in the report, the analyst ensures accurate communication of insights. This aligns with the DA0-001 domain of Communicating Data Insights, where transparency and data integrity are paramount.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Remove the month with the drop from the report.
Why it's wrong here
Removing data without explanation hides important context.
- ✗
Use a bar chart instead to show the data.
Why it's wrong here
Changing chart type does not address the normalization issue.
- ✓
Normalize the sales data by region and explain the data anomaly in the report.
Why this is correct
Normalization corrects the artifact, and explanation provides transparency.
- ✗
Present the data as-is and let stakeholders interpret the drop.
Why it's wrong here
This would mislead stakeholders because the drop is due to unnormalized data.
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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.