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?
Answer:Use compound indexes
192. How should you handle security in MongoDB to follow best practices?
Answer:Enable authentication
193. When is it advisable to use the "skip" and "limit" methods for paging through query results in MongoDB?
Answer:For large result sets
194. What is the recommended strategy for ensuring high availability in MongoDB?
Answer:Replica sets and sharding
195. What is a best practice for dealing with unstructured data in MongoDB?
Answer:Use embedded documents
196. What is the recommended method to perform aggregations on MongoDB collections?
Answer:Using the $group stage
197. What is the preferred way to handle connections in a MongoDB application to ensure scalability and performance?
Answer:Reuse connections for multiple queries
198. What is a best practice for managing large collections in MongoDB for query performance?
Answer:Create compound indexes
199. When should you consider denormalizing data in MongoDB?
Answer:To reduce query complexity
200. What is a recommended strategy for disaster recovery in MongoDB?
