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A document database grows by defining tables and fields, similar to a relational database.
False
Semi-structured data lacks the structure of formal database architecture but can have associated metadata.
True
Unstructured data is typically harder to create than structured data.
False
Key/value pair tables require all properties to be defined for each object.
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Key/value pair databases predetermine the fields used to define an object.
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Documents in a key/value pair database commonly use XML for structuring.
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JSON stands for JavaScript Object Notation.
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Semi-structured data includes raw data without any additional information like metadata.
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Non-relational databases like document databases do not have formal structures to link different data objects.
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NoSQL databases can stand for 'Not Only SQL'.
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Structured Query Language (SQL) is critical in relational database management systems (RDBMS).
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Key/value pair tables always need the same properties defined in the same order for each object.
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In a file-based storage model, when one user opens the file, it becomes locked to other users.
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Relational databases organize information in tables known as relations.
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A relational database uses NoSQL to maintain and query data in the database.
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Semi-structured databases have a fixed schema for data organization.
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Databases provide access controls to ensure data is disclosed to unauthorized users.
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Scalability in databases refers to the ability to expand usage without cost implications.
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