Web Development with Node.JS and MongoDB (Video 18)

This video tutorial explores MongoDB's schema, highlighting its dynamic nature and flexibility. It discusses the absence of transactions, document size limits, and naming restrictions for collections and fields. The video also covers various data types, including ObjectID, and compares data normalization and denormalization strategies. Finally, it concludes with a summary and a preview of the next video, which will focus on using Mongo Shell for CRUD operations.

What is a key advantage of MongoDB's dynamic schema?

• It limits the number of documents in a collection.

• It enforces strict data types for each field.

• It allows for easy addition or removal of fields without affecting other documents.

• It requires all documents to have the same fields.

Why might MongoDB not be suitable for financial operations?

• It does not support transactions.

• It has a limited number of data types.

• It cannot store large documents.

• It requires a fixed schema.

What is the maximum size of a document in MongoDB?

• 32 megabytes

• 16 megabytes

• 64 megabytes

• 8 megabytes

Which of the following is a restriction on MongoDB collection names?

• They must be longer than 80 characters.

• They cannot contain a null character.

• They can contain a dollar sign.

• They must start with a number.

What is a unique feature of the ObjectID data type in MongoDB?

• It is a 16-byte type.

• It includes a timestamp of creation.

• It cannot be used as a primary key.

• It is only used for embedded documents.

What is a benefit of normalizing data in MongoDB?

• It increases redundancy.

• It allows for larger document sizes.

• It simplifies data retrieval.

• It minimizes redundancy and dependency.

When is denormalization typically used in MongoDB?

• To reduce document size.

• When data is frequently updated.

• For many-to-many relationships.

• For one-to-one relationships or infrequently updated data.