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?
142. Which index type is most commonly used for optimizing query performance in MongoDB?
143. What is the purpose of the "explain" method in MongoDB?
144. What does the term "index intersection" refer to in MongoDB?
145. How can you improve query performance in MongoDB for frequently executed queries?
146. What is the role of the "hot storage" engine in MongoDB performance optimization?
147. What is the primary purpose of the aggregation framework in MongoDB performance optimization?
148. How can you optimize write performance in MongoDB for high-throughput insert operations?
149. Which storage engine is designed for optimizing disk utilization in MongoDB?
150. In MongoDB, how can you optimize performance when working with large result sets?