Full Stack Web Development MASTERY Course - Novice to Expert - Creating Your Own Validator in Mongoose

Full Stack Web Development MASTERY Course - Novice to Expert - Creating Your Own Validator in Mongoose

Assessment

Interactive Video

Information Technology (IT), Architecture, Other

University

Hard

Created by

Quizizz Content

FREE Resource

The video tutorial covers creating custom validators in Mongoose, focusing on ensuring positive number validation for a schema field. It explains the use of built-in validators and demonstrates how to implement a custom validator to restrict negative values. The tutorial includes testing the validator and handling errors, concluding with a brief overview of upcoming topics like APIs and GitHub.

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7 questions

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1.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Which of the following is NOT a built-in validator in Mongoose?

Lowercase

Unique

Trim

Enum

2.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the purpose of creating a custom validator in Mongoose?

To automatically trim whitespace from strings

To apply specific validation logic not covered by built-in validators

To enforce unique values in a field

To ensure data is stored in lowercase

3.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

In the custom validator example, what type of values are restricted for the 'lecture' field?

Decimal numbers

Negative numbers

Positive numbers

Zero

4.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What keyword is used to start creating a custom validator in Mongoose?

verify

assert

validate

check

5.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What happens if a negative value is entered for the 'lecture' field in the custom validator example?

The value is accepted and stored

An error is thrown

The value is converted to positive

The value is ignored

6.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Which programming language is mentioned as being used for backend development in the tutorial?

C++

Ruby

Java

Swift

7.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What future topics are mentioned as important for students and collaborative projects?

Machine Learning

Mobile App Development

APIs and Git

Data Science