MongoDB Mastering MongoDB for Beginners (Theory and Projects) - Why MongoDB

MongoDB Mastering MongoDB for Beginners (Theory and Projects) - Why MongoDB

Assessment

Interactive Video

Information Technology (IT), Architecture

University

Hard

Created by

Quizizz Content

FREE Resource

This video tutorial introduces MongoDB, a NoSQL database, and explains its significance in the industry. It highlights the demand for MongoDB skills in freelancing and career opportunities, emphasizing its advantages over traditional SQL databases. The tutorial encourages learners to acquire MongoDB skills for job prospects, freelancing, and entrepreneurship.

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5 questions

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1.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is a key reason for choosing MongoDB over traditional SQL databases?

It has better security features than SQL databases.

It is easier to learn than SQL databases.

It is a NoSQL database that overcomes SQL limitations.

It is cheaper than SQL databases.

2.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Why is MongoDB in high demand in the freelancing market?

It is highly demanded and offers lucrative earning opportunities.

It offers better security than other databases.

It is the only database used in freelancing.

It is easier to set up than other databases.

3.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the average earning potential for MongoDB freelancers on platforms like Upwork?

Around $1000 to $2000

Around $500 to $1000

Around $200 to $300

Around $50 to $100

4.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

How can MongoDB skills benefit someone looking to become an entrepreneur?

By reducing the cost of starting a business.

By providing access to a network of investors.

By offering free marketing tools.

By enabling the development of scalable applications.

5.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

In what scenarios is MongoDB particularly useful compared to traditional databases?

When dealing with small datasets.

When security is the primary concern.

When cost is not a factor.

When traditional databases fail to perform efficiently.