DA0-002 Data Concepts and Environments Practice Question
A data governance team is establishing policies to ensure data quality. They define rules for data accuracy, completeness, and consistency. Which data governance function is primarily responsible for defining and enforcing these rules?
⚠ Common exam trap
DA0-002 often tests the boundary between data stewardship (who applies rules) and data quality management (who defines and enforces them) — candidates pick 'stewardship' because it sounds like the hands-on quality role.
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
✓
Data quality management
Data quality management is the governance function specifically responsible for defining data quality dimensions (accuracy, completeness, consistency, timeliness, validity, uniqueness) and implementing the rules, profiling, and monitoring to enforce them. It translates governance policy into measurable quality controls and remediation workflows.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Data stewardship
Why it's wrong here
Data stewardship assigns accountability for specific data domains and resolves quality issues, but the function that formally defines and enforces accuracy, completeness and consistency rules is data quality management. Stewardship would be correct when the task is ongoing custodianship of a domain rather than rule definition.
- ✗
Data ownership
Why it's wrong here
Data ownership assigns accountability for a data domain's overall governance and decisions, not the operational definition and enforcement of accuracy, completeness and consistency rules. Ownership would be the right answer when the question asks who is accountable for a dataset rather than which function enforces quality rules.
- ✓
Data quality management
Why this is correct
Data quality management directly defines and enforces accuracy, completeness, and consistency rules, satisfying the stem's requirement for a governance function owning those three dimensions. It operationalises policy through profiling, validation, cleansing, and monitoring, unlike master data management, which governs shared reference entities rather than quality rule enforcement.
- ✗
Master data management
Why it's wrong here
Master data management creates and governs shared reference entities such as customer or product records; it does not define accuracy, completeness and consistency rules across datasets. It would be the right function when the goal is a single trusted golden record rather than quality rule enforcement.
Go deeper
Related to this question
About these practice questions
Courseiva writes every DA0-002 question from scratch — 1,004 in total, each with an explanation and a wrong-answer breakdown. None are copied from real exams or dumps. Learn why practice questions differ from exam dumps →
JA
Written and reviewed by Johnson Ajibi, MSc IT Security
Senior Network & Security Engineer · founder of Courseiva
Last reviewed September 2026 · checked against the official CompTIA exam blueprint
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.