The Full Stack Web Development - Getting Started With MongoDB

The video introduces MongoDB, a NoSQL document database known for its scalability and flexibility. It explains MongoDB's structure, which uses collections of JSON-like documents, and highlights its schemaless nature, allowing for dynamic data storage. The video compares MongoDB with relational databases, emphasizing the simplicity and ease of use of MongoDB for certain applications. It also covers the various data types MongoDB supports and concludes with a preview of the next video on installing and setting up MongoDB.

What is one of the main advantages of MongoDB over traditional SQL databases?

• It requires predefined schemas.

• It uses tables instead of collections.

• It is not open source.

• It offers greater flexibility without predefined schemas.

In MongoDB, what is a collection equivalent to in a relational database?

• A primary key

• A column

• A table

• A row

Which of the following is NOT a data type supported by MongoDB documents?

• Array

• XML

• Boolean

• String

How are documents in MongoDB represented?

• As plain text

• As CSV files

• As binary JSON (BSON)

• As XML files

What is a key difference between MongoDB and relational databases when handling data relationships?

• Relational databases do not support foreign keys.

• MongoDB stores related data in a single document.

• Relational databases use collections.

• MongoDB requires complex joins.

Which scenario is more suitable for using a NoSQL database like MongoDB?

• When data is highly interconnected

• When strict data integrity is required

• When there are many read operations

• When data is loosely related and needs flexible storage

What is a potential drawback of using MongoDB compared to relational databases?

• It requires predefined schemas.

• It cannot handle large datasets.

• It lacks support for complex queries.

• It is not suitable for data with closely related structures.