Relational vs NoSQL Database Types Quiz

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3. Which of the following best describes the BASE model used by many NoSQL systems?

Basically Available, Soft state, Eventually consistent

Basic Architecture, Shared Environment, Encrypted

Backup, Archive, Secure, Encrypt

Batch, Append, Search, Extract

4. True or False: Relational databases typically offer better performance for complex joins across many tables.

True

False

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6. Which database type is best suited for unstructured data like images, videos, and social media posts?

Relational database

NoSQL database

Graph database

Time-series database

7. True or False: MongoDB is an example of a relational database management system.

True

False

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9. Which NoSQL model stores data as key-value pairs and is optimized for caching and session storage?

Document store

Graph store

Key-value store

Columnar store

10. True or False: All NoSQL databases are schemaless and cannot enforce data validation.

True

False

11. Which property ensures that database transactions are atomic, consistent, isolated, and durable?

ACID

BASE

CAP

MVCC

12. Which of the following is a characteristic of key-value NoSQL databases?

Complex queries using SQL

Fast retrieval using unique keys

Enforced ACID transactions

Predefined schema requirements

13. True or False: Horizontal scaling is easier to implement in traditional relational databases than in NoSQL databases.

True

False

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15. Which NoSQL database type is optimized for storing and querying relationships between entities?

Document database

Time-series database

Graph database

Search engine

16. True or False: NoSQL databases require a predefined schema before inserting data.

True

False

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18. Which type of NoSQL database stores data as collections of JSON-like documents?

Key-value store

Document database

Graph database

Column-family store

19. NoSQL databases prioritize availability and partition tolerance over immediate consistency. This follows which theorem?

ACID theorem

CAP theorem

Normalization theorem

Concurrency theorem

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DataSys+ Relational vs NoSQL Database Types Quiz

1. In SQL, a _____ is a structured query language command used to retrieve data from one or more tables.

2.

What first name or nickname would you like us to use?

2. Relational databases use _____ to prevent unauthorized access to sensitive data.

3. Which of the following best describes the BASE model used by many NoSQL systems?

4. True or False: Relational databases typically offer better performance for complex joins across many tables.

5. In NoSQL databases, _____ is the process of storing related data together to improve query performance.

6. Which database type is best suited for unstructured data like images, videos, and social media posts?

7. True or False: MongoDB is an example of a relational database management system.

8. Relational databases achieve _____ by breaking data into multiple related tables to reduce redundancy.

9. Which NoSQL model stores data as key-value pairs and is optimized for caching and session storage?

10. True or False: All NoSQL databases are schemaless and cannot enforce data validation.

11. Which property ensures that database transactions are atomic, consistent, isolated, and durable?

12. Which of the following is a characteristic of key-value NoSQL databases?

13. True or False: Horizontal scaling is easier to implement in traditional relational databases than in NoSQL databases.

14. Relational databases use _____ to eliminate data redundancy and improve data integrity.

15. Which NoSQL database type is optimized for storing and querying relationships between entities?

16. True or False: NoSQL databases require a predefined schema before inserting data.

17. In relational databases, a _____ is a constraint that ensures referential integrity between tables.

18. Which type of NoSQL database stores data as collections of JSON-like documents?

19. NoSQL databases prioritize availability and partition tolerance over immediate consistency. This follows which theorem?

20. Relational databases use _____ to organize data into rows and columns.