Performance optimization is critical for ensuring MongoDB operates efficiently in real-world applications. Techniques like creating indexes, using the query profiler, enabling journaling, and leveraging sharding significantly enhance database performance.
These MCQs cover essential concepts such as $explain for analyzing queries, $lookup for optimizing joins, and $merge for efficient aggregation. A solid understanding of these topics helps identify and resolve performance bottlenecks. Preparing with these MCQs ensures candidates can handle performance-related interview questions.
1.) Which command is used to analyze query performance in MongoDB?
2.) What is the purpose of the db.currentOp() command?
3.) Which index type is created by default for every MongoDB collection?
4.) How can you monitor slow queries in MongoDB?
5.) What does the wiredTiger storage engine use to optimize performance?
6.) Which of the following significantly improves query performance?
7.) Which command provides statistics for a collection, including index usage?
8.) What is the impact of having too many indexes on a collection?
9.) Which of the following is the best practice for queries that filter on multiple fields?
10.) Which of the following commands resets the query profiler?