MongoDB Basics

What does MongoDB stand for?

• huge database

• gigantic data store

• massive data warehouse

• humongous database

Which type of NoSQL database is MongoDB?

• Graph-based

• Document-oriented

• Key-value

• Column-family

What is a document in MongoDB?

• A document in MongoDB is a file stored on the server

• A document in MongoDB is a table in a relational database

• A document in MongoDB is a folder containing multiple collections

• A document in MongoDB is a record in a collection, representing a JSON-like data structure with key-value pairs.

Explain the concept of a collection in MongoDB.

• A collection in MongoDB is a group of MongoDB indexes, similar to a table in a relational database.

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

• A collection in MongoDB is a group of MongoDB queries, similar to a table in a relational database.

• A collection in MongoDB is a group of MongoDB fields, similar to a table in a relational database.

What is a primary key in MongoDB?

• '_id' field

• _id_field

• primary_key_field

• key_field

How is data stored in MongoDB?

• In SQL databases

• In XML documents

• In CSV files

• In BSON documents within collections.

What is the default port for MongoDB?

• 26017

• 28017

• 27016

• 27017

What is the query language used in MongoDB?

• NoSQL Query Language

• MongoDB Query Language (MQL)

• SQL

• Python Query Language

Explain the concept of sharding in MongoDB.

• Sharding in MongoDB is a feature used for data encryption

• Sharding is a process of deleting data from the database

• Sharding involves combining data into a single server for better performance

• Sharding in MongoDB involves partitioning data into smaller chunks called shards, distributing them across multiple servers to improve performance and scalability.

What is the purpose of an index in MongoDB?

• Indexes in MongoDB are only used for sorting data alphabetically

• The purpose of an index in MongoDB is to improve query performance by allowing the database to quickly locate documents based on the indexed fields.

• Indexes in MongoDB are used for data encryption

• Indexes in MongoDB are designed to slow down query performance