MongoDB Mastering MongoDB for Beginners (Theory and Projects) - Create Document (Single)

MongoDB Mastering MongoDB for Beginners (Theory and Projects) - Create Document (Single)

Assessment

Interactive Video

Information Technology (IT), Architecture, Social Studies

University

Hard

Created by

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The video tutorial explains the basics of creating databases and collections in MongoDB, focusing on CRUD operations. It highlights the flexibility of NoSQL databases, allowing for schema-less data insertion. The tutorial demonstrates inserting documents with varying fields and data types, emphasizing MongoDB's adaptability to dynamic data. The video concludes with a preview of further CRUD operations to be explored in the next session.

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7 questions

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1.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the term used for a row of data in a MongoDB collection?

Table

Document

Field

Schema

2.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Which of the following is a key feature of NoSQL databases like MongoDB?

Data stored in rows and columns

Flexible data models

Data stored in tables

Strict schema enforcement

3.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

In MongoDB, what format is used to insert data into a collection?

XML

CSV

JSON-like objects

Plain text

4.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

How does MongoDB handle the absence of a predefined schema?

It enforces a fixed structure

It restricts data types

It requires a default schema

It allows dynamic data insertion

5.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What advantage does MongoDB offer when dealing with variable data attributes?

Fixed number of attributes

Mandatory data type consistency

Predefined memory allocation

Dynamic addition of attributes

6.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Can MongoDB store different data types for the same field across different documents?

Only for numeric fields

Only if specified in the schema

No, it must be consistent

Yes, it allows flexibility

7.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is a key benefit of using MongoDB for data with unknown future attributes?

Strict data type adherence

Predefined schema enforcement

Memory reservation for all attributes

Ability to append new data as needed