DA0-002 Data Concepts and Environments Practice Question
An organization has multiple systems that store customer information inconsistently. To create a single authoritative view of customer data, they implement a process that identifies and merges duplicate records. This is an example of which data management discipline?
⚠ Common exam trap
DA0-002 often tests the overlap between data governance, data quality, and MDM, causing candidates to choose governance or quality when the scenario specifically requires creating a single authoritative master record.
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
✓
Master Data Management (MDM)
Master Data Management (MDM) is the discipline focused on creating and maintaining a single, authoritative, consistent view of core business entities such as customers, products, and suppliers. Identifying and merging duplicate records to produce a trusted golden record is a core MDM activity. The scenario describes exactly this consolidation of inconsistent customer data across systems.
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 governance
Why it's wrong here
Data governance sets policies, ownership and standards for data; it does not itself detect and merge duplicate records. The described deduplication and master-record creation is master data management. Governance is tempting because it also addresses inconsistent customer data across systems, but through rules and accountability rather than record-level consolidation.
- ✗
Data warehousing
Why it's wrong here
Data warehousing consolidates data for reporting and analytics by extracting, transforming and loading it into a central store; it does not identify and merge duplicate customer records into one authoritative entity. Master data management performs that deduplication. Warehousing is tempting because it also unifies data from multiple source systems.
- ✗
Data quality
Why it's wrong here
Data quality addresses accuracy, completeness and consistency of values, but the described activity of matching and merging duplicates across systems is master data management. It is tempting because duplicates are a quality symptom, yet it would be correct when cleansing invalid or missing values within a single dataset.
- ✓
Master Data Management (MDM)
Why this is correct
Master Data Management creates the single authoritative golden record by matching and merging duplicates across systems, exactly the discipline described. It governs the organisation's core customer entities, unlike data quality or integration, which address different concerns.
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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
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