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.
211. What is the primary benefit of horizontal scaling in MongoDB?
212. In MongoDB, what is the term for the automatic distribution of data across multiple servers for high availability and fault tolerance?
213. What is the purpose of the "sharding" feature in MongoDB?
214. What is a common use case for "replica sets" in MongoDB?
215. Which MongoDB feature helps reduce downtime and data loss by automatically promoting a secondary replica in case of a primary's failure?
216. In MongoDB, what is the role of the "config servers" in a sharded cluster setup?
217. What is the preferred method for ensuring high availability of MongoDB when using cloud-based services like MongoDB Atlas?
218. What is the primary goal of read scaling in MongoDB?
219. Which feature in MongoDB allows for real-time monitoring of cluster performance and data distribution?
220. What is the role of a load balancer in a sharded cluster setup in MongoDB?