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DAG511 Class Quiz 3

Total questions: 81

Worksheet time: 27mins

Name
Class
Date
1.

Which of the following is considered a primary source of data?

a)

Survey responses

b)

Newspaper article

c)

Research report

d)

Statistical summary

2.

Which data source is typically second-hand information collected by someone else?

a)

Tertiary data

b)

Secondary data

c)

Primary data

d)

Raw data

3.

What is an advantage of using secondary data sources?

a)

Customization

b)

Time-saving

c)

Direct interaction with respondents

d)

High accuracy

4.

Which of the following is NOT an example of a secondary source of data?

a)

Government statistics

b)

Personal interviews

c)

Journals

d)

Books

5.

Primary data collection is often __________ compared to secondary data collection.

a)

Less reliable

b)

More accurate

c)

Faster

d)

Cheaper

6.

Which of these is an example of qualitative primary data?

a)

Weather statistics

b)

Customer interview responses

c)

Sales figures

d)

Census records

7.

Which of the following best describes tertiary data?

a)

Data analyzed and compiled for reference

b)

Raw experimental results

c)

First-hand observations

d)

Direct survey answers

8.

What is the main disadvantage of using primary data?

a)

Costly and time-consuming

b)

Lack of availability

c)

Biased reporting

d)

Outdated information

9.

Which of the following is an internal source of data?

a)

Competitor websites

b)

Company financial records

c)

Government publications

d)

Industry reports

10.

Why might researchers combine both primary and secondary data sources?

a)

To avoid repetition

b)

To ensure low cost

c)

To reduce workload

d)

To increase data validity

11.

What is web scraping primarily used for?

a)

Collecting data from websites

b)

Managing internal databases

c)

Encrypting online transactions

d)

Designing user interfaces

12.

Which of the following is a challenge of web scraping?

a)

Limited websites online

b)

Lack of automation

c)

Data accuracy

d)

High cost

13.

Which programming language is commonly used for web scraping?

a)

C

b)

Assembly

c)

COBOL

d)

Python

14.

Web scraping must comply with __________.

a)

Random user preferences

b)

Internal HR policies

c)

Search engine ranking rules

d)

Copyright and legal restrictions

15.

Which library is often used in Python for web scraping?

a)

Matplotlib

b)

NumPy

c)

BeautifulSoup

d)

TensorFlow

16.

CAPTCHA systems are designed to prevent __________.

a)

User logins

b)

Data analysis

c)

Web scraping bots

d)

System crashes

17.

Which of these is an ethical concern with web scraping?

a)

Better accuracy

b)

Data privacy violations

c)

Cost reduction

d)

Improved efficiency

18.

What is an alternative to web scraping for accessing accurate data?

a)

APIs

b)

Operating systems

c)

Word processors

d)

Firewalls

19.

Which factor affects accuracy in scraped data?

a)

User interface design

b)

Font size used on site

c)

Dynamic web page changes

d)

Color scheme of the website

20.

Scraped data often requires __________ before use.

a)

Encryption only

b)

Cleaning and validation

c)

Direct publishing

d)

Immediate deletion

21.

Which of the following is NOT one of the 3Vs of Big Data?

a)

Volume

b)

Velocity

c)

Variety

d)

Validity

22.

Big Data typically involves datasets that are too __________ for traditional systems.

a)

Large and complex

b)

Structured

c)

Simple

d)

Small

23.

Which technology is often used to process Big Data?

a)

Hadoop

b)

MS Word

c)

Photoshop

d)

Excel only

24.

The 'Variety' aspect of Big Data refers to __________.

a)

Cost of collection

b)

Different data formats

c)

Speed of data flow

d)

Data storage location

25.

Which of these is an example of Big Data in real life?

a)

One-page assignment

b)

Small personal diary

c)

Medical patient records

d)

Your daily grocery list

26.

Why is 'Velocity' important in Big Data?

a)

Data quality improves

b)

Data has multiple formats

c)

Data storage is simpler

d)

Data arrives quickly and must be processed fast

27.

Big Data analytics can help businesses __________.

a)

Ignore trends

b)

Increase paperwork

c)

Improve decision-making

d)

Reduce employee count

28.

Which of these is a challenge with Big Data?

a)

Manual collection

b)

Small dataset size

c)

Data security

d)

Limited storage media

29.

Which of the following can be considered a Big Data source?

a)

Handwritten notes

b)

One user's homework

c)

Single interview transcript

d)

Social media interactions

30.

The purpose of Big Data technologies is to __________.

a)

Slow down processing

b)

Handle large-scale data efficiently

c)

Shrink file sizes

d)

Delete unused files

31.

Which term refers to the correctness and reliability of data?

a)

Data redundancy

b)

Data mining

c)

Data scraping

d)

Data quality

32.

Which of the following is NOT a dimension of data quality?

a)

Accuracy

b)

Timeliness

c)

Decoration

d)

Completeness

33.

Which issue arises when the same data exists in multiple places?

a)

Data diversity

b)

Data freshness

c)

Data redundancy

d)

Data uniqueness

34.

Why is timeliness important for data quality?

a)

It saves file storage

b)

Outdated data loses relevance

c)

It reduces server speed

d)

It increases duplication

35.

Which of the following ensures data is free of errors?

a)

Data validation

b)

Data redundancy

c)

Data retrieval

d)

Data compression

36.

An incomplete customer address in a database affects which data quality dimension?

a)

Consistency

b)

Timeliness

c)

Completeness

d)

Accuracy

37.

Consistency in data quality means __________.

a)

Data is updated regularly

b)

Data is compressed

c)

Data is uniform across systems

d)

Data is always numeric

38.

Which is a common tool for improving data quality?

a)

Word processing

b)

Data cleansing

c)

Graphic design software

d)

Presentation slides

39.

Which is a common tool for improving data quality?

a)

Word processing

b)

Data cleansing

c)

Graphic design software

d)

Presentation slides

40.

Why is accuracy critical in data quality?

a)

It reduces system costs

b)

Incorrect data leads to wrong decisions

c)

It increases system speed

d)

It improves font styles

41.

Which of the following is an example of poor data quality?

a)

Consistent sales records

b)

Duplicate customer entries

c)

Updated inventory list

d)

Validated product codes

42.

Which of the following is a key principle of data governance?

a)

Accountability

b)

Guesswork

c)

Ambiguity

d)

Negligence

43.

Why is metadata important in data governance?

a)

It describes data

b)

It encrypts data

c)

It deletes data

d)

It hides data

44.

Which practice ensures sensitive data is protected?

a)

Data masking

b)

Data duplication

c)

Data inflation

d)

Data deletion

45.

A data steward is responsible for __________.

a)

Managing data quality

b)

Designing buildings

c)

Conducting sales

d)

Marketing campaigns

46.

Why should organizations implement data governance?

a)

To ensure compliance

b)

To increase costs

c)

To eliminate data

d)

To reduce teamwork

47.

Which of the following best describes data governance?

a)

Framework for managing data

b)

System for deleting data

c)

Method for encrypting files

d)

Tool for writing code

48.

Which principle involves knowing where data originates?

a)

Data lineage

b)

Data deletion

c)

Data marketing

d)

Data storage

49.

What ensures uniform policies across departments?

a)

Centralized governance

b)

Decentralized governance

c)

Data redundancy

d)

Data overload

50.

Which standard is often associated with governance?

a)

ISO 38505

b)

HTML

c)

CSS

d)

XML

51.

What is a risk of poor data governance?

a)

Regulatory penalties

b)

Increased trust

c)

Improved efficiency

d)

Lower costs

52.

What does POPIA stand for?

a)

Protection of Personal Information Act

b)

Protection of Public Information Access

c)

Public Office Privacy Act

d)

Personal Official Protection Act

53.

Which principle under POPIA ensures individuals are informed?

a)

Transparency

b)

Secrecy

c)

Ambiguity

d)

Negligence

54.

POPIA applies to which type of data?

a)

Personal data

b)

Random notes

c)

Weather data

d)

Anonymous jokes

55.

Which right allows people to request corrections?

a)

Right to rectification

b)

Right to hide

c)

Right to delete others' data

d)

Right to sell data

56.

Which organization oversees POPIA compliance?

a)

Information Regulator

b)

Home Affairs

c)

Post Office

d)

Municipality

57.

Under POPIA, what must organizations obtain before processing?

a)

Consent

b)

Random approval

c)

Bribes

d)

No permission

58.

What is a consequence of violating POPIA?

a)

Fines and imprisonment

b)

Free advertising

c)

Awards

d)

Increased profits

59.

The GDPR is similar to POPIA but originates from __________.

a)

European Union

b)

South Africa

c)

United States

d)

Asia

60.

Which principle ensures data is collected for specific purposes?

a)

Purpose limitation

b)

Random collection

c)

Unlimited use

d)

Open sharing

61.

Under POPIA, data subjects have the right to __________.

a)

Access their data

b)

Ban the internet

c)

Own a company

d)

Create random rules

62.

What is data wrangling?

a)

Transforming raw data into usable format

b)

Destroying data

c)

Encrypting files

d)

Deleting data

63.

Which step comes first in data wrangling?

a)

Data discovery

b)

Data modeling

c)

Data selling

d)

Data encryption

64.

What does data cleaning address?

a)

Errors and inconsistencies

b)

Color of reports

c)

Server speed

d)

Marketing strategy

65.

Which tool is commonly used for data wrangling?

a)

Python Pandas

b)

MS Paint

c)

Photoshop

d)

Word

66.

Why is data wrangling important?

a)

Ensures accurate analysis

b)

Makes websites faster

c)

Increases duplication

d)

Protects copyrights

67.

What is another name for data wrangling?

a)

Data munging

b)

Data dancing

c)

Data stealing

d)

Data hiding

68.

Which step involves combining multiple sources?

a)

Data integration

b)

Data deletion

c)

Data printing

d)

Data encryption

69.

Which wrangling step detects missing values?

a)

Data validation

b)

Data hiding

c)

Data duplication

d)

Data pricing

70.

Data wrangling prepares data for __________.

a)

Analysis

b)

Destruction

c)

Encryption

d)

Storage only

71.

Which of the following is a challenge in wrangling?

a)

Large datasets

b)

Perfect data

c)

Uniform data

d)

Consistent systems

72.

Which of the following is a linear data structure?

a)

Array

b)

Tree

c)

Graph

d)

Network

73.

Which data structure uses FIFO principle?

a)

Queue

b)

Stack

c)

Tree

d)

Graph

74.

Which data structure uses LIFO principle?

a)

Stack

b)

Queue

c)

Array

d)

Linked list

75.

A binary tree is an example of a __________ structure.

a)

Hierarchical

b)

Linear

c)

Circular

d)

Flat

76.

Which data structure is best for dynamic memory use?

a)

Linked list

b)

Array

c)

Stack

d)

Queue

77.

Graphs consist of __________.

a)

Nodes and edges

b)

Cells and formulas

c)

Rows and columns

d)

Pages and chapters

78.

Which of these is a non-linear data structure?

a)

Tree

b)

Array

c)

Queue

d)

Stack

79.

Which operation removes the last element of a stack?

a)

Pop

b)

Push

c)

Insert

d)

Append

80.

Which structure is ideal for hierarchical relationships?

a)

Tree

b)

Array

c)

Stack

d)

Queue

81.

In a queue, insertion happens at the __________.

a)

Rear

b)

Front

c)

Middle

d)

Top