Microsoft Azure Data Fundamentals DP-900 Practice Question
A data engineer stores IoT device messages as JSON documents in Azure Blob Storage. The messages share some common fields but each device may include additional, optional fields. Which characteristic explains why these documents are considered semi-structured data?
They must conform to a rigid table with predefined columns and data types.
They are saved in a proprietary binary format that lacks any schema information.
They are automatically decomposed into multiple related tables to eliminate redundancy.
They contain self-describing key-value pairs, so each record can have a different set of attributes.
Semi-structured data, such as JSON, is self-describing: every record holds its own set of key-value pairs so the schema can vary from one document to the next. This flexibility differentiates it from structured data, which requires a fixed set of columns, and from unstructured binary files that provide no embedded schema information. Normalized table decomposition is a relational database design technique and is unrelated to the nature of semi-structured files.
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Microsoft Azure Data Fundamentals DP-900
Describe core data concepts
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