Data Quality, Lineage and Stewardship
Governance questions cover data quality dimensions, stewardship, ownership, lineage, cataloging, retention, master data, policies, and quality remediation.
How to study for CompTIA Data+
Treat each Data+ item as an analytics decision: identify the source, quality issue, transformation, statistic, visual, audience, and control.
Core concepts
Concept 1
Data quality should be measured through accuracy, completeness, consistency, timeliness, validity, and uniqueness.
Exam cue: Measure the right quality dimension for the problem.
Concept 2
Stewardship and ownership clarify who defines, approves, maintains, and resolves data issues.
Exam cue: Assign owner or steward for definition and remediation.
Concept 3
Lineage and cataloging help users trust, discover, and audit data assets.
Exam cue: Use lineage and catalog metadata for trust and audit.
Risk pitfalls and guardrails
Fixing quality problems without assigning ownership.
Guardrail: Avoid answers that skip profiling, overclaim causation, hide limitations, choose misleading visuals, or expose sensitive data.
Confusing completeness with accuracy.
Guardrail: Avoid answers that skip profiling, overclaim causation, hide limitations, choose misleading visuals, or expose sensitive data.
Using a dataset without understanding lineage or approved definitions.
Guardrail: Avoid answers that skip profiling, overclaim causation, hide limitations, choose misleading visuals, or expose sensitive data.
Memory anchors
Accuracy
Accuracy measures whether data correctly represents the real-world value.
Completeness
Completeness measures whether required data is present.
Consistency
Consistency measures whether values agree across systems or records.
Timeliness
Timeliness measures whether data is current enough for the use case.
Validity
Validity measures whether values conform to allowed formats, ranges, or rules.
Uniqueness
Uniqueness measures whether records are duplicated when they should be distinct.
Data Steward
A data steward manages definitions, quality, policies, and issue resolution for data assets.
Data Owner
A data owner has accountability and decision authority for a data domain or asset.
Data Catalog
A data catalog documents assets, definitions, lineage, owners, and usage context.
Master Data
Master data represents core business entities such as customers, products, locations, or employees.
Checkpoint rule
Do the check-up only after you can summarize each concept in one sentence and identify one dangerous pitfall from memory.
Knowledge Check (after reading)
Short check-up to confirm understanding of this module.
Check-up Questions
Only 72% of required response_time values are populated. Which action best addresses the requirement? Use only the facts stated.
Customer addresses are populated but many fail verification against trusted postal data. How should the analyst proceed? Use only the facts stated.
Answer all questions to submit.
Next step personalized recommendations
Continue learning
Move forward only after this module is stable.
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