240+ MongoDB MCQ With Online Practice Test

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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.

141. What is the primary goal of performance optimization in MongoDB?

Answer: Query efficiency

142. Which index type is most commonly used for optimizing query performance in MongoDB?

Answer: Single-field Index

143. What is the purpose of the "explain" method in MongoDB?

Answer: To provide query execution details

144. What does the term "index intersection" refer to in MongoDB?

Answer: Combining multiple indexes into one

145. How can you improve query performance in MongoDB for frequently executed queries?

Answer: Use covered queries

146. What is the role of the "hot storage" engine in MongoDB performance optimization?

Answer: Storing frequently accessed data

147. What is the primary purpose of the aggregation framework in MongoDB performance optimization?

Answer: Query processing

148. How can you optimize write performance in MongoDB for high-throughput insert operations?

Answer: Use sharding

149. Which storage engine is designed for optimizing disk utilization in MongoDB?

Answer: WiredTiger

150. In MongoDB, how can you optimize performance when working with large result sets?

Answer: Use the "batchSize" option
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