MongoDB Interview Questions

MongoDB is a NoSQL, document-oriented database that stores data in flexible, JSON-like documents called BSON (Binary JSON).

It is schema-less, horizontally scalable, and supports advanced querying, indexing, and aggregation.

MongoDB is ideal for agile development, big data, real-time analytics, and content management systems.

It supports sharding, replication, and geospatial queries out of the box.

A document is the basic unit of data in MongoDB, represented in BSON format.

Documents are grouped into collections, which are analogous to tables in RDBMS.

Each document has a unique _id field that acts as the primary key.

Documents support nesting, arrays, and dynamic schemas, allowing for flexible data modeling.

A collection in MongoDB is a grouping of MongoDB documents, similar to a table in a relational database.

Collections are schema-less, meaning documents within a collection can vary in structure.

They are created implicitly upon first insertion of a document.

Unlike tables, collections can be dropped, renamed, and indexed without affecting other collections.