Microsoft Azure Data Fundamentals DP-900 Practice Question
In the context of data representation options available in Azure solutions, which statement correctly distinguishes semi-structured data from structured data?
It stores records as edges and nodes optimized for traversing relationships in a property graph model.
It has no predefined schema but uses self-describing tags or key-value pairs to organize fields, as in JSON files.
It consists purely of binary blobs such as video files with no meaningful metadata or tags.
It is stored in fixed-width columns and must adhere to a rigid table schema defined in a relational database.
Semi-structured data, such as JSON or XML, does not rely on a rigid table schema. Instead, it carries its own self-describing structure through tags or key-value pairs, allowing records to contain optional or variable attributes. Structured data, by contrast, is organized into relational tables with predefined columns and data types. Unstructured data (for example, video files) lacks an internal organizational model beyond basic metadata, while graph data stores focus on nodes and edges rather than tagged elements. Therefore, the description referring to flexible, self-describing tags is the only accurate characterization of semi-structured data.
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Microsoft Azure Data Fundamentals DP-900
Describe core data concepts
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