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H13-821_V3.0 · Question #351

Compared with non-relational databases, relational databases use semi-structured datasets to store data, while non-relational databases use structured tables to store data.

The correct answer is B. False. Option B is correct because the statement has the definitions completely reversed. Relational databases store data in structured tables with predefined rows and columns (a rigid schema), while non-relational (NoSQL) databases store data in flexible, semi-structured or…

Database and Application Solution Design on Huawei Cloud

Question

Compared with non-relational databases, relational databases use semi-structured datasets to store data, while non-relational databases use structured tables to store data.

Options

  • ATrue
  • BFalse

How the community answered

(16 responses)
  • A
    19% (3)
  • B
    81% (13)

Explanation

Option B is correct because the statement has the definitions completely reversed. Relational databases store data in structured tables with predefined rows and columns (a rigid schema), while non-relational (NoSQL) databases store data in flexible, semi-structured or unstructured formats such as JSON documents, key-value pairs, or graphs.

Option A is wrong because accepting the statement as true would mean believing non-relational databases use rigid tables and relational databases use flexible semi-structured data - the exact opposite of how each works.

Memory tip: The word "relational" comes from the mathematical concept of a relation, which maps directly to a table. Relational = Tables. Non-relational = everything else (documents, key-value stores, etc.), which tend to be more flexible and semi-structured.

Topics

#relational databases#non-relational databases#data structure types#database schema

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