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Types of NoSQL Databases Quiz

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Questions and Answers

What type of database is MongoDB?

Graph
Document-based (correct)
Key-value pair
Column-oriented

Which programming languages are supported by MongoDB's APIs (drivers)?

Java, Python, C++
JavaScript, Python, Ruby, Java (correct)
Scala, C#, Ruby, Java
C++, Haskell, Erlang, Perl

What functionality does MongoDB offer?

Static schema, primary indexes, eventual consistency
Dynamic schema, secondary indexes, atomic writes (correct)
Static schema, secondary indexes, atomic writes
Dynamic schema, primary indexes, eventual consistency

What is the format used by MongoDB for data storage?

BSON (Binary JSON) (D) Signup and view all the answers

Which type of replication does MongoDB support?

Master-slave replication with automated failover (replica sets) (D) Signup and view all the answers

What are the key-value pairs in Dynamo DB and Azure Table Storage?

The key-value pairs in Dynamo DB and Azure Table Storage include (#key,#value), (Name, Tom), (Age,25), (Role, Student), (ATS ), (University, CU), and {"Name": "Tom", "Age": 30, "Role": "Student", "University": "CU"} Signup and view all the answers

What is MongoDB?

MongoDB is a document-oriented, NoSQL database developed by 10gen in 2007. It is a hash-based, schema-less database that does not have a Data Definition Language. It allows storage of hashes with any keys and values, with keys being stored as strings and document identifiers (_id) created for each document. Signup and view all the answers

What are the programming languages supported by MongoDB's APIs (drivers)?

MongoDB supports APIs (drivers) in JavaScript, Python, Ruby, Perl, Java, Scala, C#, C++, Haskell, and Erlang. Signup and view all the answers

What are some functionalities of MongoDB?

MongoDB offers dynamic schema, no DDL, document-based database, secondary indexes, query language via an API, atomic writes and fully-consistent reads, master-slave replication with automated failover (replica sets), and built-in horizontal scaling via automated range-based partitioning of data (sharding). Signup and view all the answers

Why use MongoDB?

MongoDB is used because of its dynamic schema, document-based database, support for secondary indexes, query language via an API, atomic writes and fully-consistent reads, master-slave replication with automated failover, and built-in horizontal scaling via automated range-based partitioning of data (sharding). Signup and view all the answers

Study Notes

MongoDB Overview

MongoDB is a NoSQL database, specifically a document-oriented database.

Programming Languages Supported

MongoDB's APIs (drivers) support multiple programming languages, including:
- Java
- Python
- Ruby
- C++
- C#
- Node.js
- PHP
- Perl
- Scala
- Go

MongoDB Functionality

MongoDB offers a rich set of functionalities, including:
- Ad-hoc querying
- Indexing
- Aggregation
- Data replication
- Load balancing
- Capped collections
- Embedded data models

Data Storage

MongoDB stores data in a JSON-like format called BSON (Binary Serialized Object Notation).

Replication

MongoDB supports master-slave replication, which allows for automatic failover and redundancy.

Comparison with Other NoSQL Databases

In DynamoDB and Azure Table Storage, key-value pairs are used to store data.
In contrast, MongoDB uses a document-oriented data model.

Why Use MongoDB?

MongoDB is a popular choice for modern applications due to its:
- Scalability
- Flexibility
- High performance
- Ease of use
- Rich ecosystem of tools and drivers

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Description

Test your knowledge of different types of NoSQL databases with this quiz. From document-based to column-oriented and graph databases, this quiz covers various NoSQL database types and their features.