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.
191. What is the recommended approach to optimize query performance in MongoDB?
192. How should you handle security in MongoDB to follow best practices?
193. When is it advisable to use the "skip" and "limit" methods for paging through query results in MongoDB?
194. What is the recommended strategy for ensuring high availability in MongoDB?
195. What is a best practice for dealing with unstructured data in MongoDB?
196. What is the recommended method to perform aggregations on MongoDB collections?
197. What is the preferred way to handle connections in a MongoDB application to ensure scalability and performance?
198. What is a best practice for managing large collections in MongoDB for query performance?
199. When should you consider denormalizing data in MongoDB?
200. What is a recommended strategy for disaster recovery in MongoDB?