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.
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Practice Test
141. What is the primary goal of performance optimization in MongoDB?
A. Data storage
B. Data modeling
C. Data consistency
D. Query efficiency
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Answer: Query efficiency
142. Which index type is most commonly used for optimizing query performance in MongoDB?
A. Text Index
B. Compound Index
C. Single-field Index
D. Multi-key Index
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Answer: Single-field Index
143. What is the purpose of the "explain" method in MongoDB?
A. To execute a query
B. To provide query execution details
C. To create an index
D. To define the schema
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Answer: To provide query execution details
144. What does the term "index intersection" refer to in MongoDB?
A. Combining multiple indexes into one
B. Using a unique index
C. Merging collections
D. Indexing nested documents
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Answer: Combining multiple indexes into one
145. How can you improve query performance in MongoDB for frequently executed queries?
A. Use covered queries
B. Execute the query in a loop
C. Increase the collection size
D. Use an index on a non-existent field
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Answer: Use covered queries
146. What is the role of the "hot storage" engine in MongoDB performance optimization?
A. Storing cold data
B. Storing frequently accessed data
C. Managing data consistency
D. Query execution
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Answer: Storing frequently accessed data
147. What is the primary purpose of the aggregation framework in MongoDB performance optimization?
A. Data encryption
B. Data storage
C. Query processing
D. Data transformation
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Answer: Query processing
148. How can you optimize write performance in MongoDB for high-throughput insert operations?
A. Use a single document for all inserts
B. Use sharding
C. Disable the storage engine
D. Write data asynchronously
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Answer: Use sharding
149. Which storage engine is designed for optimizing disk utilization in MongoDB?
A. WiredTiger
B. InnoDB
C. MyISAM
D. RocksDB
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Answer: WiredTiger
150. In MongoDB, how can you optimize performance when working with large result sets?
A. Use the "batchSize" option
B. Use the "sort" option
C. Increase the number of documents per batch
D. Use the "count" command
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Answer: Use the "batchSize" option
