Microsoft Azure Data Fundamentals DP-900 Practice Question
When choosing to store information in a relational database table, which characteristic of structured data specifically enables the database engine to enforce consistency across every row?
Information is saved as binary large objects (BLOBs) without field definitions
Each record can contain any combination of key-value pairs
Metadata is stored in a separate document outside the data itself
A fixed schema that defines columns and their data types for every row
Structured data is arranged in tables that follow a predefined schema consisting of columns with declared data types. Because every row must match this fixed set of columns and their data types, the relational engine can validate input, optimize queries, and build indexes efficiently. Semi-structured models rely on external or flexible metadata, and unstructured formats like raw BLOBs lack any enforced structure, so they cannot provide the same level of built-in data-type enforcement.
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Microsoft Azure Data Fundamentals DP-900
Describe core data concepts
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