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