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Post-Test OSINT Training

Total questions: 25

Worksheet time: 13mins

Name
Class
Date
1.

Which one of these is not an impact of digital ocean?

a)

Information overload

b)

Empowered individuals

c)

Data is limited

d)

Building contextual story/search

2.

The characteristics of big data which describes how quickly data is generated and how quickly that data moves, is called

a)

Volume

b)

Velocity

c)

Variety

d)

Veracity

3.

The process of analyzing raw data to find trends and asnwer questions, is called

a)

Data collection

b)

Data science

c)

Data analytics

d)

Data engineering

4.

Which method can be used to discover topics that occur in a collection of documents?

a)

Topic modeling

b)

Sentiment Analysis

c)

Linear Regression

d)

Association rule

5.

These are the applications of social media analytics, except

a)

Brand monitoring

b)

Issue monitoring

c)

Identifying fashion trends

d)

Credit scoring

6.

We are able to collect data from Social Media such as Twitter using API, which is th abbreviation of

a)

Application Product Interface

b)

Application Programming Interface

c)

Application People Interface

d)

Application Performance Interface

7.

A methodology to extract data from the web using automated process such as bot is called as

a)

Web crawling

b)

Web gathering

c)

Web scraping

d)

Web collecting

8.

A process to get the data from the web in the following links between parts or webs in the internet is called as

a)

Web crawling

b)

Web gathering

c)

Web scraping

d)

Web collecting

9.

Social media data can be collected in the following ways, by using ..

a)

App features

b)

API

c)

Web scraping

d)

All answers are true

10.

These are tools for web scraping, except

a)

Parsehub

b)

Octoparse

c)

BeautifulSoup

d)

Parser

11.

Which statement is true about the legal concern of web scraping?

a)

Web scraping is not illegal unless we use it unethicaly

b)

Web scraping is just like any tool in the world

c)

Problems come when people use the site owner's permission an disregard of ToS (Term of Service)

d)

All answers are true

12.

These methods can be used to process unstructured data, except

a)

Text classification

b)

Text clustering

c)

Text Linear

d)

Text Network Analysis

13.

Which one is not included in basic concept of Social Network Analysis?

a)

Tie Strength

b)

Network size

c)

Network Characteristics

d)

Network metrics: Modularity

14.

To modify causes of product issues quicker and understand competitor's products are the applications of text mining in … area

a)

Manufacturer

b)

Government

c)

Healthcare

d)

Insurance

15.

Which one is the correct sequence of text mining process?

a)

Raw text - Text processing - Feature Extraction - Data mining - Evaluation

b)

Text processing - Raw text - feature Extraction - Data mining - Evaluation

c)

Data mining - Raw text - Text processing - Feature Extraction - Evaluation

d)

Raw text - Feature Extraction - Text processing - Data mining - Evaluation

16.

Social entities actors in a social network are represented by:

a)

Modularity

b)

Nodes

c)

Edges

d)

Tie Strength

17.

Which can be the correct method in forming social networks?

a)

Qualitative observation

b)

Questionnaire

c)

Direct Observation

d)

All answers are true

18.

"How many people can this person reach directly?" describes …

a)

Degree Centrality

b)

Betweenness Centrality

c)

Closeness Centrality

d)

Eigenvector Centrality

19.

"How likely to be the most direct route?" describes …

a)

Degree Centrality

b)

Betweenness Centrality

c)

Closeness Centrality

d)

Eigenvector Centrality

20.

"How fast to reach everyone?" describes …

a)

Degree Centrality

b)

Betweenness Centrality

c)

Closeness Centrality

d)

Eigenvector Centrality

21.

"How well connected to other well-connected?" describes …

a)

Degree Centrality

b)

Betweenness Centrality

c)

Closeness Centrality

d)

Eigenvector Centrality

22.

Finding similar patterns in doctor's reports is an example of text mining application in … field

a)

Manufacturer

b)

Retail

c)

Healthcare

d)

Government

23.

"jenna", "went", "back", "to", "university" . This is the example of text preprocessing which is called ..

a)

Normalize

b)

Tokenize

c)

Remove stopwords

d)

Stem/lemmatize

24.

What is needed in crawling Twitter data using API?

a)

Key secret and token secret

b)

Lock secret and token secret

c)

Secure secret and secure token

d)

All answers are true

25.

We can use web scraping when we meet these situations, except

a)

The API provided is not free

b)

The API does not expose all the data we wish to obtain

c)

The API provided is rate limited

d)

The website we want to extract data provide an API