Understanding NoSQL Aggregate Models

What is the primary structure of Key-Value Stores?

• A single key with multiple values

• A collection of key-value pairs

• A list of ordered items

• A database of user profiles

What type of data is stored in Document Stores?

• Plain text files

• Binary data formats

• Documents in formats like JSON, BSON, or XML.

• CSV files

Name one advantage of using Key-Value Stores.

• Complex query capabilities

• Limited data types

• High performance and scalability.

• Low data redundancy

What is a common use case for Document Stores?

• E-commerce platforms

• Social media applications

• Data warehousing solutions

• Content management systems

Which NoSQL database is an example of a Key-Value Store?

• MongoDB

• Redis

• Neo4j

• Cassandra

What is a limitation of Key-Value Stores?

• Limited support for complex queries and joins.

• Automatic data backup and recovery.

• Support for complex transactions.

• High scalability for large datasets.

How do Document Stores differ from relational databases?

• Document Stores allow flexible schemas and store data as documents, while relational databases use fixed schemas with tables and enforce relationships.

• Document Stores use fixed schemas and enforce relationships like relational databases.

• Document Stores do not support any form of relationships between data.

• Relational databases store data as documents and allow flexible schemas.

What format is commonly used for documents in Document Stores?

• YAML

• XML

• JSON

• CSV

Why are Key-Value Stores considered highly scalable?

• Key-Value Stores are limited to single-node configurations.

• Key-Value Stores require complex data structures for scalability.

• Key-Value Stores do not support data distribution across nodes.

• Key-Value Stores are highly scalable due to their ability to distribute data across multiple nodes and support horizontal scaling.

What type of data can be stored as a value in Key-Value Stores?

• Images and videos

• HTML documents

• Audio files

• Strings, numbers, binary data, JSON objects, lists or arrays.