DA0-002 Data Concepts and Environments Practice Question
Which TWO of the following are primary benefits of implementing a data governance program?
⚠ Common exam trap
A common mix-up: candidates confuse data governance with data management or data engineering tasks, mistakenly thinking it directly improves performance or reduces costs, when its core value is in quality, consistency, and compliance.
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
✓
Improved data quality and consistency
Option C is correct because a core purpose of data governance is establishing policies, standards, and stewardship roles that enforce data quality dimensions such as accuracy, completeness, and consistency across systems. Option E is correct because governance defines authoritative data sources, master data management, and ownership rules that eliminate duplicate and conflicting copies of data across the enterprise. The remaining options do not belong: A (faster data processing speed) is an infrastructure or query-optimization outcome, B (increased data volume) is a byproduct of data accumulation rather than a governance benefit, and D (lower storage costs) is a cost-optimization result typically achieved through tiering, deduplication, or archiving rather than governance itself.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Faster data processing speed
Why it's wrong here
Governance assigns stewardship, definitions and quality controls; it adds review and metadata overhead rather than accelerating compute or query throughput. It is tempting because cleaner, well-catalogued data can speed analyst work, but processing speed is an engineering concern, not a governance deliverable.
- ✗
Increased data volume
Why it's wrong here
Data governance defines ownership, quality and access rules; it does not generate records, so volume is unaffected. It is tempting because governed pipelines often ingest more trusted sources, but volume is an outcome of ingestion strategy, not a governance benefit.
- ✓
Improved data quality and consistency
Why this is correct
Governance establishes standards, ownership and controls across the data lifecycle, which directly raises data quality and consistency. These are the primary benefits cited, as governance enforces uniform definitions and validation rather than merely storing or visualising data.
- ✗
Lower storage costs
Why it's wrong here
Governance typically increases storage through lineage, metadata and retained audit copies; it does not reduce infrastructure spend. It is tempting because deduplication and retention policies can trim redundant data, but cost reduction is a storage-management outcome, not a primary governance benefit.
- ✓
Reduced data redundancy
Why this is correct
Governance assigns data owners, stewards and defined definitions, so duplicate records are identified and eliminated at source. This directly reduces redundancy, satisfying the stem's benefit criterion by enforcing single authoritative sources rather than leaving copies scattered across systems.
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Written by Johnson Ajibi, MSc IT Security
Senior Network & Security Engineer · founder of Courseiva
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