Question 1
SQL Server
MongoDB
Cassandra
None of the mentioned
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Microsoft SQL Server is a relational database management system developed by Microsoft.
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Question 2
Documents can contain many different key-value pairs, or key-array pairs, or even nested documents
MongoDB has official drivers for a variety of popular programming languages and development environments
When compared to relational databases, NoSQL databases are more scalable and provide superior performance
All of the mentioned
There are also a large number of unofficial or community-supported drivers for other programming languages and frameworks.
Question 3
SQL
Document databases
JSON
Document databases pair each key with a complex data structure known as a document.
Question 4
Riak
Redis
Wide-column stores such as Cassandra and HBase are optimized for queries over large datasets, and store columns of data together, instead of rows
Question 5
Non Relational databases require that schemas be defined before you can add data
NoSQL databases are built to allow the insertion of data without a predefined schema
NewSQL databases are built to allow the insertion of data without a predefined schema
There’s also no way, using a relational database, to effectively address data that’s completely unstructured or unknown in advance.
Question 6
LAN
SAN
MAN
“Sharding” a database across many server instances can be achieved with SQL databases, but usually is accomplished through SANs and other complex arrangements for making hardware act as a single server.
Question 7
processing
scalability
replication
all of the mentioned
The storage environment is essentially virtualized from the developer’s perspective.
Question 8
Key-value
Wide-column
Document
Every single item in the database is stored as an attribute name (or “key”), together with its value in Key-value stores.
Question 9
Graph
Graph stores include Neo4J and HyperGraphDB.
Question 10
unstructured
structured
semi-structured
MongoDB is an atypical choice for unstructured data storage.
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March 26, 2021