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AD23632 Framework for Data And Visual Analytics Unit I

Total questions: 20

Worksheet time: 7mins

Name
Class
Date
1.

Which statement best differentiates data from information as implied in the unit content?

a)

Data is always numerical

b)

Data becomes information only after analytics

c)

Data is a collection of raw facts in multiple formats

d)

Data and information are interchangeable

2.

3. Data analytics primarily enables understanding of:

a)

A. Only future predictions

b)

B. Only historical patterns

c)

C. Past performance, current state, and future possibilities

d)

D. Data storage and retrieval

3.

Which combination correctly represents the formats in which data can exist?

a)

A. Numbers, tables, databases

b)

B. Text, sound, images, statistics

c)

C. Audio, software, code

d)

D. Images, hardware, memory

4.

Which of the following is an implicit objective of data analytics based on the introduction?

a)

A. Hardware optimization

b)

B. Automation of databases

c)

C. Supporting informed decision-making

d)

D. Eliminating data redundancy

5.

5. Identifying opportunities through data analytics most directly supports which organizational goal?

a)

A. Data archiving

b)

B. Strategic growth

c)

C. Data normalization

d)

D. Error detection

6.

6. Which importance of data analytics directly contributes to reducing operational delays?

a)

A. Problem solving

b)

B. Improved efficiency

c)

C. Opportunity identification

d)

D. Data collection

7.

7. The process of data analytics conceptually begins with:

a)

A. Pattern discovery

b)

B. Model assessment

c)

C. Data collection

d)

D. Knowledge deployment

8.

8. Which data type requires predefined structure and schema?

a)

A. Unstructured

b)

B. Semi-structured

c)

C. Structured

d)

D. Qualitative

9.

9. Which of the following best characterizes unstructured data?

a)

A. Stored in relational databases

b)

B. Organized in tabular format

c)

C. Lacks predefined format

d)

D. Contains numeric attributes only

10.

10. Semi-structured data differs from structured data because it:

a)

A. Cannot be analyzed

b)

B. Lacks complete rigidity but has some organization

c)

C. Is always qualitative

d)

D. Exists only as multimedia

11.

11. Quantitative data is most suitable for:

a)

A. Descriptive analysis

b)

B. Narrative reporting

c)

C. Mathematical and statistical operations

d)

D. Text interpretation

12.

12. Which scenario represents qualitative data usage?

a)

A. Calculating averages

b)

B. Measuring heights

c)

C. Describing customer feedback

d)

D. Counting transactions

13.

13. Data collected directly for a specific study is classified as:

a)

A. External data

b)

B. Secondary data

c)

C. Primary data

d)

D. Internal data

14.

14. Government reports and published research papers are examples of:

a)

A. Primary internal data

b)

B. Secondary external data

c)

C. Primary external data

d)

D. Internal secondary data

15.

15. Internal data provides which key advantage to organizations?

a)

A. Public availability

b)

B. Cost-free access

c)

C. Direct relevance to operations

d)

D. Standardized formatting

16.

16. Which of the following pairs is correctly matched?

a)

A. External data – Employee records

b)

B. Internal data – Social media

c)

C. Primary data – First-time collection

d)

D. Secondary data – Real-time sensors

17.

17. A data analytics framework mainly ensures:

a)

A. Faster data storage

b)

B. Hardware compatibility

c)

C. Structured execution of analysis tasks

d)

D. Automated decision-making

18.

18. CRISP-DM is best described as a:

a)

A. Programming language

b)

B. Statistical model

c)

C. Standardized data mining process

d)

D. Visualization framework

19.

19. The term “Cross-Industry” in CRISP-DM indicates:

a)

A. Use across different programming languages

b)

B. Applicability across multiple business domains

c)

C. Dependence on multiple datasets

d)

D. Use across hardware platforms

20.

20. Which framework explicitly emphasizes iterative assessment?

a)

A. KDD

b)

B. CRISP-DM

c)

C. SEMMA

d)

D. Data Analytics Process