240+ MongoDB MCQ With Online Practice Test

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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?

Answer: Regularly take backups
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