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
191. What is the recommended approach to optimize query performance in MongoDB?
A. Avoid indexing
B. Use compound indexes
C. Use a single field index
D. Store data in separate collections
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Answer: Use compound indexes
192. How should you handle security in MongoDB to follow best practices?
A. Disable authentication
B. Enable authentication
C. Store passwords in plain text
D. Use weak encryption methods
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Answer: Enable authentication
193. When is it advisable to use the "skip" and "limit" methods for paging through query results in MongoDB?
A. For all queries
B. For small result sets
C. For large result sets
D. For complex queries
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Answer: For large result sets
194. What is the recommended strategy for ensuring high availability in MongoDB?
A. Single replica set
B. Sharding
C. Use multiple standalone servers
D. Replica sets and sharding
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Answer: Replica sets and sharding
195. What is a best practice for dealing with unstructured data in MongoDB?
A. Use embedded documents
B. Avoid unstructured data
C. Convert it to a fixed schema
D. Use NoSQL databases instead
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Answer: Use embedded documents
196. What is the recommended method to perform aggregations on MongoDB collections?
A. Using the $group stage
B. Running queries one by one
C. Aggregating data externally
D. Using indexes on collections
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Answer: Using the $group stage
197. What is the preferred way to handle connections in a MongoDB application to ensure scalability and performance?
A. Establish a new connection for each request
B. Use a single long-lived connection
C. Open a new connection for each query
D. Reuse connections for multiple queries
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Answer: Reuse connections for multiple queries
198. What is a best practice for managing large collections in MongoDB for query performance?
A. Use "sparse" indexes
B. Disable indexing
C. Create compound indexes
D. Use separate databases
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Answer: Create compound indexes
199. When should you consider denormalizing data in MongoDB?
A. For all data modeling scenarios
B. To reduce query complexity
C. To avoid indexes altogether
D. Only for very small datasets
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Answer: To reduce query complexity
200. What is a recommended strategy for disaster recovery in MongoDB?
A. Regularly take backups
B. Never back up data
C. Rely on automated failover
D. Use a single MongoDB instance
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Answer: Regularly take backups
