MongoDB and NoSQL Concepts

MongoDB and NoSQL Concepts

12th Grade

26 Qs

quiz-placeholder

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MongoDB and NoSQL Concepts

MongoDB and NoSQL Concepts

Assessment

Quiz

Computers

12th Grade

Medium

Created by

Techo Genisis

Used 3+ times

FREE Resource

26 questions

Show all answers

1.

MULTIPLE CHOICE QUESTION

20 sec • 1 pt

What is the primary data structure used in MongoDB?

BSON

JSON

CSV

XML

Answer explanation

The primary data structure used in MongoDB is BSON (Binary JSON), which allows for efficient storage and retrieval of data. Unlike JSON, BSON supports additional data types and is optimized for performance.

2.

MULTIPLE CHOICE QUESTION

20 sec • 1 pt

Explain the concept of a document in MongoDB.

A document in MongoDB is a type of database table.

A document in MongoDB is a fixed structure with predefined fields.

A document in MongoDB is a collection of images stored in binary format.

A document in MongoDB is a flexible, schema-less data structure represented as key-value pairs, similar to JSON.

Answer explanation

A document in MongoDB is a flexible, schema-less data structure represented as key-value pairs, similar to JSON. This allows for dynamic data storage without a fixed schema, making it versatile for various applications.

3.

MULTIPLE CHOICE QUESTION

20 sec • 1 pt

What is a collection in MongoDB?

A collection in MongoDB is a type of index.

A collection in MongoDB is a single document.

A collection in MongoDB is a grouping of documents, similar to a table in relational databases.

A collection in MongoDB is a command to retrieve data.

Answer explanation

A collection in MongoDB is a grouping of documents, akin to a table in relational databases. It allows for the storage and organization of related data, making it easier to manage and query multiple documents.

4.

MULTIPLE CHOICE QUESTION

20 sec • 1 pt

How does MongoDB differ from traditional SQL databases?

MongoDB differs from traditional SQL databases by using a flexible, document-based data model instead of fixed, table-based schemas.

MongoDB stores data in rows and columns like a relational database.

MongoDB requires complex joins for data retrieval similar to SQL.

MongoDB uses fixed, table-based schemas like traditional SQL databases.

Answer explanation

MongoDB uses a flexible, document-based data model, allowing for dynamic schemas, unlike traditional SQL databases that rely on fixed, table-based schemas. This flexibility supports varied data structures and easier scaling.

5.

MULTIPLE CHOICE QUESTION

20 sec • 1 pt

What does CRUD stand for in the context of databases?

Create, Read, Update, Drop

Create, Retrieve, Update, Delete

Create, Read, Archive, Delete

Create, Read, Update, Delete

Answer explanation

CRUD stands for Create, Read, Update, Delete, which are the four basic operations for managing data in databases. This choice accurately reflects the standard terminology used in database management.

6.

MULTIPLE CHOICE QUESTION

20 sec • 1 pt

Describe the Create operation in MongoDB.

The Create operation in MongoDB is used to delete documents from a collection.

The Create operation in MongoDB is a command that retrieves documents from a collection.

The Create operation in MongoDB is performed using the 'update' method to modify existing documents.

The Create operation in MongoDB is done using the 'insert' method to add new documents to a collection.

Answer explanation

The Create operation in MongoDB specifically refers to adding new documents to a collection, which is accomplished using the 'insert' method. This distinguishes it from operations like delete or update.

7.

MULTIPLE CHOICE QUESTION

20 sec • 1 pt

How do you read data from a MongoDB database?

Use SQL queries to access MongoDB data.

Read data directly from a CSV file.

Use a MongoDB driver to connect, select a collection, and query data using methods like find() or findOne().

Connect to MongoDB using a web browser interface.

Answer explanation

To read data from a MongoDB database, you need to use a MongoDB driver. This allows you to connect to the database, select a collection, and query data using methods like find() or findOne().

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