Data Validation and Sanitization: Part I

Data Validation and Sanitization: Part I

Assessment

Interactive Video

Information Technology (IT), Architecture

University

Hard

Created by

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This video tutorial covers data validation and sanitization using Mongoose. It explains how to enforce data rules, set up required fields, and use custom validators. The tutorial also introduces the NPM Validator library for complex validations like email and phone numbers. Additionally, it demonstrates data sanitization techniques such as trimming and converting to lowercase. The video concludes with a practical demonstration of these concepts in a user model.

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10 questions

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1.

OPEN ENDED QUESTION

3 mins • 1 pt

What is data validation and why is it important?

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2.

OPEN ENDED QUESTION

3 mins • 1 pt

Explain the difference between data validation and data sanitization.

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3.

OPEN ENDED QUESTION

3 mins • 1 pt

How can you enforce that a user's age must be greater than or equal to 18?

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4.

OPEN ENDED QUESTION

3 mins • 1 pt

What is an example of data sanitization mentioned in the text?

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5.

OPEN ENDED QUESTION

3 mins • 1 pt

Describe how to set a field as required in a Mongoose model.

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6.

OPEN ENDED QUESTION

3 mins • 1 pt

What are built-in validators in Mongoose and how do they work?

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7.

OPEN ENDED QUESTION

3 mins • 1 pt

What is the purpose of custom validation in Mongoose?

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