DA0-002 Data Governance Practice Question
A national hotel chain stores guest records in a cloud data warehouse. Before a loyalty-analytics project begins, the governance team must document what each field means, how it is formatted, and who owns it. Which deliverable best satisfies this requirement?
⚠ Common exam trap
The trap here is assuming that any documentation of the data, such as a diagram or lineage map, satisfies a metadata-definition requirement even though it omits meaning, format, and ownership.
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 data catalog entry containing field definitions, data types, and the assigned data steward
The requirement combines business meaning, technical format, and accountability for each field — precisely the contents of a data catalog entry. Catalogs are purpose-built for discoverability of definitions and stewardship, so they let the loyalty team interpret guest records correctly and know whom to contact about changes. Diagrams, lineage, and scorecards each answer different governance questions and leave the definition-and-ownership gap unfilled.
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 data lineage diagram tracing how guest records flow from the property management system into the warehouse
Why it's wrong here
Lineage documents the origin, transformation, and movement of data across systems. While valuable for impact analysis and troubleshooting, it answers where data came from, not what a field means or who owns it. The governance team specifically needs definitions, formats, and accountability, so lineage by itself does not satisfy the stated deliverable.
- ✓
A data catalog entry containing field definitions, data types, and the assigned data steward
Why this is correct
A data catalog is the governance artifact that captures technical metadata such as field names, data types, and formats alongside business metadata such as definitions and the accountable data steward. It makes guest-record semantics discoverable and auditable before the loyalty project consumes the data, directly fulfilling the requirement to document meaning, format, and ownership.
- ✗
A data quality scorecard reporting completeness and validity rates for each guest attribute
Why it's wrong here
A scorecard measures quality dimensions such as completeness and validity over time, which supports monitoring rather than definition. It tells consumers how trustworthy a field is but not its business meaning, permitted format, or accountable owner. Since the project requires documented semantics and stewardship, a scorecard is the wrong artifact for this need.
- ✗
An entity-relationship diagram showing primary and foreign key relationships between guest tables
Why it's wrong here
An entity-relationship diagram models structural relationships between tables and keys, which is useful for database design. It does not record what each field means to the business, nor does it identify the steward accountable for the field. Because the requirement is semantic definition and ownership rather than table structure, the diagram alone is insufficient here.
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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.