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?
