240+ MongoDB MCQ With Online Practice Test

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.

Practice Test

31. What is the fundamental unit of data in MongoDB data modeling?

Answer: Document

32. How are relationships between entities typically represented in MongoDB data modeling?

Answer: Embedding

33. What is the purpose of denormalization in MongoDB data modeling?

Answer: Simplifying data retrieval

34. In MongoDB, what does it mean to "embed" one document within another?

Answer: Storing a copy of one document within another

35. When is it appropriate to use references to represent relationships in MongoDB data modeling?

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?

Answer: Referencing

37. In MongoDB, what is a common technique for handling data growth and large collections?

Answer: Sharding

38. What is the primary benefit of using sharding in MongoDB data modeling?

Answer: Distributing data across multiple servers

39. What does it mean to "pre-join" data in MongoDB data modeling?

Answer: Combining data during retrieval

40. What is the recommended approach for modeling hierarchical data in MongoDB?

Answer: Tree Structure
Topic Tags