![]() _ documents capture relationships between data by storing related data in a single document structure.Ĭlarification: MongoDB documents make it possible to embed document structures in a field or array within a document.Ī) The key decision in designing data models for MongoDB applications revolves around the structure of documents and how the application represents relationships between dataī) There are two tools that allow applications to represent these relationships: references and embedded documentsĬ) When designing data models, always consider the application usage of the data (i.e. In MongoDB, write operations are atomic at the _ level.Ĭlarification: No single write operation can atomically affect more than one document or more than one collection.Ĥ. ![]() Broadly, these are normalized data models.Ī) In practice, the documents in a collection share a different structureĬ) The key challenge in data modeling is balancing the needs of the application, the performance characteristics of the database engine, and the data retrieval patternsĬlarification: MongoDB’s collections do not enforce document structure.ģ. _ store the relationships between data by including links or references from one document to another.Ĭlarification: Applications can resolve these references to access the related data. MongoDB Multiple Choice Questions on “Data Modeling Introduction”.ġ.
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