DA0-002 Data Governance Practice Question
A data analyst discovers an anomaly in a dataset. Which two actions should be taken before reporting? (Choose TWO.)
⚠ Common exam trap
It's easy for candidates to confuse 'immediate reporting' with proactive communication, but CompTIA Data+ expects the understanding that data validation must precede any stakeholder notification to maintain data credibility.
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
✓
Verify the data source and extraction process
Before reporting an anomaly, the data analyst must verify the data source and extraction process to ensure the anomaly is not due to a pipeline error, such as a misconfigured ETL job or a corrupted data feed. This step confirms data integrity and prevents false alarms based on extraction artifacts rather than genuine data issues.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Assume the anomaly is real and report it
Why it's wrong here
Assumptions without verification can lead to incorrect conclusions.
- ✗
Immediately alert all stakeholders
Why it's wrong here
Alerting without validation may cause unnecessary panic.
- ✓
Verify the data source and extraction process
Why this is correct
This confirms the anomaly is not due to data collection issues.
- ✓
Check for data entry errors or technical glitches
Why this is correct
Common causes should be ruled out before reporting.
- ✗
Remove the anomaly without documentation
Why it's wrong here
Removing data without documentation can compromise integrity and traceability.
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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.