DA0-002 Data Governance Practice Question
A data governance council at an insurance company is establishing a data stewardship program. The council wants to define the core responsibilities that data stewards will own within their assigned domains. Which two responsibilities are most appropriate for data stewards? (Choose two.)
⚠ Common exam trap
The trap here is expanding the steward role into technical or commercial territory, when stewardship centers on defining and defending data quality within a domain.
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
✓
Defining and maintaining data quality rules and standards for their domain
Data stewards own the health of data in their domains, which centers on defining quality rules and standards and resolving quality issues with documented root causes. Budget approval, pipeline engineering, and vendor contracting are responsibilities of executives, engineers, and procurement respectively. Keeping stewards focused on quality definition and remediation preserves clear accountability within the governance model.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Negotiating vendor contracts for third-party data purchases
Why it's wrong here
Contract negotiation is handled by procurement and legal with input from data leadership. Stewards may assess whether purchased data meets domain requirements, but they do not own commercial agreements. This responsibility sits outside the stewardship role's focus on data definition, quality, and issue resolution.
- ✗
Approving the enterprise-wide data governance budget
Why it's wrong here
Budget approval belongs to executive sponsors or the governance council's leadership, not to domain stewards. Stewards operate within allocated resources and focus on data content and quality. Assigning financial authority to stewards would exceed their scope and confuse accountability lines within the governance operating model.
- ✓
Defining and maintaining data quality rules and standards for their domain
Why this is correct
Data stewards are accountable for the fitness of data in their domains, which includes authoring quality rules such as validity ranges, completeness thresholds, and referential integrity checks. They translate business expectations into measurable criteria and monitor adherence. This custodial responsibility directly supports the council's goal of embedding accountability for data health across domains.
- ✓
Resolving data quality issues and documenting root causes within their domain
Why this is correct
Stewards investigate defects flagged by monitoring, coordinate remediation with data producers, and record root causes to prevent recurrence. This hands-on problem resolution is a defining steward duty because it connects policy to practice. Documenting causes also builds institutional knowledge that informs future rule design and process improvements.
- ✗
Building the physical ETL pipelines that load data into the warehouse
Why it's wrong here
ETL development is an engineering responsibility performed by data integration teams. Stewards define requirements and validate outcomes but typically do not write transformation code. Conflating stewardship with pipeline construction blurs the separation between accountability for data content and technical implementation.
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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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