DA0-002 Data Governance Practice Question
Which THREE of the following are appropriate ways to handle outliers when communicating data insights?
⚠ Common exam trap
Candidates often think removing outliers is always a standard data cleaning step, but the exam emphasizes that outliers must be investigated and documented rather than automatically deleted, as they can carry significant meaning.
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
✓
Document the outlier and its potential impact in the report.
Documenting the outlier and its potential impact in the report is a best practice for transparent and ethical data communication. It allows stakeholders to understand the anomaly's influence on the analysis and make informed decisions, rather than hiding or misrepresenting the data.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✓
Document the outlier and its potential impact in the report.
Why this is correct
Documentation provides transparency and context.
- ✗
Ignore the outlier and proceed with the analysis.
Why it's wrong here
Ignoring outliers may mask important insights.
- ✓
Investigate the cause of the outlier.
Why this is correct
Understanding the cause helps determine if it's an error or a real insight.
- ✓
Use a box plot to visualize the distribution including outliers.
Why this is correct
Box plots naturally show outliers.
- ✗
Remove the outlier from the dataset to clean the data.
Why it's wrong here
Removing outliers without justification can lead to biased analysis.
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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.