Microsoft Azure Data Fundamentals DP-900 Practice Question
You are reviewing a set of application log files that are saved as JSON documents. Each document uses key-value pairs to describe events, but some events have additional keys that others do not. Which statement best explains why this data is considered semi-structured?
The documents contain tags or key-value pairs that provide a flexible, self-describing structure, so each record can vary in the attributes it stores.
The data is stored in fixed columns defined by a relational schema, and every record must match that schema exactly.
The documents can only be processed with image recognition algorithms because they lack any machine-readable structure.
The documents are stored as binary objects that have no inherent tags, making their meaning understandable only to humans.
Semi-structured data is often stored in self-describing formats such as JSON or XML. These formats include tags or key-value pairs that provide a logical structure, yet they do not require every record to follow an identical, rigid schema as in relational tables. The flexible, self-describing nature of the data allows different documents to contain different attributes. By contrast, relational data (structured) is stored in predefined columns, and unstructured data such as images or free-form text lacks any inherent, machine-readable schema.
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Microsoft Azure Data Fundamentals DP-900
Describe core data concepts
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