240+ MongoDB MCQ With Online Practice Test

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.

Practice Test

151. What is the primary goal of aggregation in MongoDB?

Answer: Data transformation

152. Which aggregation stage is used to filter documents in MongoDB?

Answer: $match

153. What is the primary purpose of the MapReduce function in MongoDB?

Answer: Data aggregation

154. In MongoDB aggregation, what does the "$group" stage do?

Answer: Groups documents

155. What does the "reduce" function in MapReduce do?

Answer: Combine and reduce results

156. In MapReduce, what is the purpose of the "map" function?

Answer: Transforming and emitting data

157. Which stage in the MongoDB aggregation pipeline is used to reshape documents and calculate expressions?

Answer: $project

158. What is the primary benefit of using aggregation over MapReduce in MongoDB?

Answer: Simplicity and flexibility

159. What type of data processing does MapReduce excel at in MongoDB?

Answer: Batch processing

160. In MongoDB, what does the "$sort" stage do in the aggregation pipeline?

Answer: Sorts documents
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