MongoDB is a popular NoSQL database system renowned for its flexibility and scalability. It uses a document-oriented model, storing data in JSON-like BSON format, allowing for dynamic schemas and easy data manipulation. MongoDB's distributed architecture supports horizontal scaling, ensuring high availability and performance. It's widely utilized for applications requiring real-time data access and complex data structures. Its features include automatic sharding, replication, and support for geospatial data, making it a versatile choice for a broad range of industries, from e-commerce and social media to IoT and big data analytics.
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Practice Test
31. What is the fundamental unit of data in MongoDB data modeling?
A. Document
B. Table
C. Column
D. Row
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Answer: Document
32. How are relationships between entities typically represented in MongoDB data modeling?
A. Embedding
B. Joining
C. Indexing
D. Normalizing
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Answer: Embedding
33. What is the purpose of denormalization in MongoDB data modeling?
A. Reducing data redundancy
B. Simplifying data retrieval
C. Increasing data integrity
D. Avoiding schema changes
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Answer: Simplifying data retrieval
34. In MongoDB, what does it mean to "embed" one document within another?
A. Storing a copy of one document within another
B. Storing a reference to another document
C. Storing data in a separate collection
D. Storing data in a relational database
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Answer: Storing a copy of one document within another
35. When is it appropriate to use references to represent relationships in MongoDB data modeling?
A. When data is small and rarely changing
B. When data is frequently updated
C. When data is deeply nested
D. When data is simple
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Answer: When data is frequently updated
36. Which type of modeling is suitable for modeling data with one-to-many and many-to-many relationships in MongoDB?
A. Embedding
B. Referencing
C. Indexing
D. Normalization
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Answer: Referencing
37. In MongoDB, what is a common technique for handling data growth and large collections?
A. Sharding
B. Clustering
C. Embedding
D. Normalization
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Answer: Sharding
38. What is the primary benefit of using sharding in MongoDB data modeling?
A. Reducing complexity of queries
B. Distributing data across multiple servers
C. Normalizing data
D. Simplifying data relationships
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Answer: Distributing data across multiple servers
39. What does it mean to "pre-join" data in MongoDB data modeling?
A. Combining data during retrieval
B. Separating data into multiple collections
C. Embedding data within a document
D. Storing data in separate databases
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Answer: Combining data during retrieval
40. What is the recommended approach for modeling hierarchical data in MongoDB?
A. Parent References
B. Tree Structure
C. Embedded Subdocuments
D. Nested Arrays
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Answer: Tree Structure
