Document database stores records as documents:

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Multiple Choice

Document database stores records as documents:

Explanation:
Document databases organize data as self-describing documents. Each record is a document—typically stored in formats like JSON or BSON—that contains all the fields for that item, and it can include nested objects and arrays. This approach is what sets document stores apart: you retrieve or query based on the document’s internal structure rather than relying on fixed rows, relationships, or simple key-to-value mappings. In contrast, relational databases store data in tables with a fixed schema, graph databases model data as nodes and edges to capture relationships, and key-value stores map keys directly to values. Since the defining idea here is that records are stored as full documents, the option describing records as entire documents is the best fit.

Document databases organize data as self-describing documents. Each record is a document—typically stored in formats like JSON or BSON—that contains all the fields for that item, and it can include nested objects and arrays. This approach is what sets document stores apart: you retrieve or query based on the document’s internal structure rather than relying on fixed rows, relationships, or simple key-to-value mappings. In contrast, relational databases store data in tables with a fixed schema, graph databases model data as nodes and edges to capture relationships, and key-value stores map keys directly to values. Since the defining idea here is that records are stored as full documents, the option describing records as entire documents is the best fit.

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