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Unit 12 - Big data

Total questions: 10

Worksheet time: 5mins

Name
Class
Date
1.

What are the 3 v's?

a)

Volume, velocity, variety

b)

Variety, various, volume

c)

Volume, verification, vigorous

d)

Verification, valuable, volatile

2.

What does the term 'big data ' mean?

a)

Large amounts of data that can fit on one server

b)

Large amounts of data stored in a relational database

c)

Data that is collected by Facebook

d)

Data that is collected on a large scale, too large for one server, and is generally unstructured

3.

Why is big data not suitable for storage in a relational database? Tick the one that does NOT apply.

a)

It is impossible to use standard query tools such as SQL

b)

The data may need a response in milliseconds

c)

The lack of structure means it cannot be organised into the rows and columns of a relational database

d)

Big data is very structured and organised

4.

Processing will often need to be distributed across multiple servers.

a)

True

b)

False

5.

What features of functional programming make it useful for working with Big Data? Tick the one that does NOT apply.

a)

The use of variables

b)

Immutable data structures

c)

Statelessness, the program’s behaviour does not depend on the order in which functions are called

d)

Higher order functions allow functions to be input as arguments

6.

What does immutable mean?

a)

An object that is called by a function

b)

A data structure that can change size

c)

An object whose state cannot be modified after it is created

d)

A LIFO data structure

7.

A graph database stores data as ….

a)

entities and properties

b)

rows and columns

c)

fields and attributes

d)

nodes and relationships

8.

What would Amazon use Big Data for?

a)

To store customer details

b)

To analyse buying trends and recommend future purchases

c)

To store payment details

d)

To predict future company earnings

9.

Which functions can be easily parallelised (many processors can work simultaneously on part of a dataset)?

a)

Map and Fold

b)

Map and Head

c)

Fold and Tail

d)

Filter and Max

10.

How much data does Google process a day?

a)

32 terabytes

b)

300 petabytes

c)

24 petabytes

d)

28 gigabytes