NoSQL

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Computers
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University
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Medium
mitmca mitmca
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40 questions
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1.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
A type of SQL database
A non-relational database technology that allows for flexible schema design and scalability
A programming language used to query SQL databases
None of the above
2.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What are the main types of NoSQL databases?
Key-Value, Document, Graph, and Relational
Key-Value, Tabular, Graph, and Document
Key-Value, Document, Graph, and Object-Oriented
Relational, Object-Relational, Document-Oriented, and Graph
3.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
Which NoSQL database type is best suited for social networking applications?
Key-Value
Document
Graph
Object-Oriented
4.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
Which NoSQL database type is best suited for storing and retrieving JSON documents?
Key-Value
Document
Graph
Object-Oriented
5.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What is data denormalization, and why is it commonly used in NoSQL databases?
Combining multiple tables into a single table to reduce join operations
Splitting a large table into multiple smaller tables
Converting a relational database into a NoSQL
Storing redundant data to improve read performance
6.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What is CAP theorem, and what are its implications for NoSQL databases?
It states that a distributed system can only guarantee two out of three properties: Consistency, Availability, and Partition tolerance
It proves that a distributed database can always provide strong consistency and availability
It ensures that a distributed system can handle network partitions without losing data
It guarantees that a distributed database will always be consistent and partition-tolerant
7.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What is sharding in the context of NoSQL databases?
The process of splitting a database into multiple smaller databases
A technique for replicating data across multiple servers
A method for distributing data evenly across a cluster of machines
A way to ensure data consistency across multiple data centers
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