MongoDB Scaling and Monitoring is crucial for handling large datasets, ensuring high availability, and troubleshooting performance issues in production environments. Topics like replication, sharding, monitoring tools (mongostat, mongotop, Ops Manager), and query profiling are essential for optimizing database performance.
The following MCQs will help you prepare for such interviews by testing your knowledge of MongoDB scaling and monitoring.
1.) Which MongoDB feature ensures high availability by replicating data across multiple servers?
2.) What is the primary purpose of MongoDB sharding?
3.) Which MongoDB component is responsible for routing queries in a sharded cluster?
4.) What type of MongoDB node can serve read requests in a replica set?
5.) What is the default heartbeat interval for replica set members in MongoDB?
6.) In a sharded MongoDB cluster, which component tracks the metadata of shard distribution?
7.) How does an arbiter node help in a MongoDB replica set?
8.) Which tool provides real-time monitoring of MongoDB query performance?
9.) How can you optimize MongoDB performance in a high-write workload?
10.) What does the $match aggregation stage do?