DS0-001 · Question #143
DS0-001 Question #143: Real Exam Question with Answer & Explanation
The correct answer is D: Data dictionary. A data dictionary (D) is the go-to resource for extensive data details - it documents every field's name, data type, allowed values, business definition, relationships, and constraints. For a new data scientist reviewing data before modeling, it provides the deepest, most structu
Question
A data scientist recently joined a company and needs to review the data before building models. Which of the following tools can the data scientist use to find the most extensive details?
Options
- AMaintenance documentation
- BUnified modeling language
- CEntity relationship diagram
- DData dictionary
Explanation
A data dictionary (D) is the go-to resource for extensive data details - it documents every field's name, data type, allowed values, business definition, relationships, and constraints. For a new data scientist reviewing data before modeling, it provides the deepest, most structured reference available.
Why the distractors are wrong:
- (A) Maintenance documentation describes system upkeep procedures, not the structure or meaning of data fields.
- (B) Unified Modeling Language (UML) is a software design notation for visualizing system architecture and code structure, not data content details.
- (C) Entity Relationship Diagrams (ERDs) show how tables relate to each other, but they only capture structure (keys, cardinality) - not the rich metadata a data dictionary holds, like valid values, business definitions, or data lineage.
Memory tip: Think of a data dictionary as a "field-level encyclopedia" - if you need to know everything about a specific column (what it means, what values are valid, where it comes from), the dictionary is the answer. ERDs tell you the map; the data dictionary tells you the meaning.
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