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Data Classification MCQs

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Data Classification MCQs

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SAA MCQ QUESTIONS

UNIT -1
1. What is the most appropriate definition of data?
a) Information that has been organized and processed for a specific
purpose.
b) Raw facts and figures that may or may not be processed or
organized.
c) Knowledge derived from analysis and interpretation of facts.
d) Digital representation of physical objects.

2. Which of the following best describes the characteristics of data?


a) Tangible and measurable.
b) Subjective and qualitative.
c) Verifiable and subjective.
d) Quantitative and qualitative.
3. In the context of computing, what does data refer to?
a) The hardware components of a computer system.
b) The instructions executed by a computer program.
c) Information processed or stored by a computer system.
d) The physical location where data is stored.

4. What distinguishes data from information?


a) Data is processed, while information is raw.
b) Information is meaningful data that has been processed.
c) Data is qualitative, while information is quantitative.
d) Information is subjective, while data is objective.
5. Which of the following is an example of raw data?
a) A bar graph showing sales figures for the past year.
b) A spreadsheet containing customer names and contact
information.
c) Temperature readings recorded every hour.
d) A report summarizing market trends.

6. What is the primary purpose of classification in defining terms?


a) To organize terms alphabetically.
b) To group terms based on their meaning and usage.
c) To assign numerical values to terms.
d) To create synonyms for terms.
7. Which of the following is NOT a common method of classification for
definitions?
a) Etymological classification
b) Semantic classification
c) Chronological classification
d) Syntactical classification

8. Which of the following is the primary purpose of data classification?


a) To organize data alphabetically.
b) To group data based on their size.
c) To categorize data based on their sensitivity and importance.
d) To assign numerical values to data.
9. What is the significance of data classification in cybersecurity?
a) It helps in organizing data for easy retrieval.
b) It ensures that data is stored in chronological order.
c) It assists in identifying and protecting sensitive information.
d) It categorizes data based on their physical properties.

10. How does data classification contribute to compliance with regulations such
as GDPR and HIPAA?
a) By ensuring data is stored only in physical formats.
b) By classifying data based on its monetary value.
c) By categorizing data according to its legal implications and sensitivity.
d) By organizing data alphabetically.
11. In data classification, what does the term "sensitive data" refer to?
a) Data that is publicly available.
b) Data that is encrypted.
c) Data that requires special protection due to its confidentiality or privacy
implications.
d) Data that is stored on external servers.

12. Which of the following is an example of personally identifiable information (PII),


a category of sensitive data?
a) Weather forecasts.
b) Credit card numbers.
c) Publicly available product information.
d) Historical data on stock market trends.
13. In etymological classification, terms are classified based on their:
a) Historical origins and development.
b) Usage in modern contexts.
c) Geographic distribution.
d) Popularity in contemporary culture.

14. Semantic classification of definitions focuses on:


a) The structure of the sentences containing the terms.
b) The relationship between the term and its synonyms.
c) The meaning and sense of the terms.
d) The geographical origins of the terms.
15. Chronological classification of definitions organizes terms based on:
a) Their frequency of usage over time.
b) Their alphabetical order.
c) The historical period in which they originated.
d) Their popularity in different cultures.
16. What is the primary purpose of data classification?
a) To organize data alphabetically.
b) To group data based on their size.
c) To categorize data based on their characteristics and usage.
d) To assign numerical values to data.
17. In the context of cybersecurity, what does data classification primarily
aim to achieve?
a) To create backups of data.
b) To detect unauthorized access to data.
c) To identify and protect sensitive information.
d) To optimize data storage.

18. How does data classification assist organizations in managing their


information effectively?
a) By organizing data based on its physical location.
b) By encrypting all data to ensure security.
c) By categorizing data according to its importance and sensitivity.
d) By deleting outdated data regularly.
19. Which of the following is a common classification criterion used in data
classification?
a) Color
b) Alphabetical order
c) Sensitivity and confidentiality
d) Time of creation
20. What type of data is typically classified as highly sensitive and requires strict
access controls?
a) Publicly available data
b) Non-sensitive data
c) Personally identifiable information (PII)
d) Data stored on cloud servers
• Answers:
1. b) Raw facts and figures that may or may not be processed or organized.
2. d) Quantitative and qualitative.
3. c) Information processed or stored by a computer system.
4. b) Information is meaningful data that has been processed.
5. c) Temperature readings recorded every hour.
6. b) To group terms based on their meaning and usage.
7. c) Chronological classification
8. c) To categorize data based on their sensitivity and importance.
9. c) It assists in identifying and protecting sensitive information.
10. c) By categorizing data according to its legal implications and sensitivity.
11. c) Data that requires special protection due to its confidentiality or privacy
implications.
12. b) Credit card numbers.
13. a) Historical origins and development.
14. c) The meaning and sense of the terms.
15. c) The historical period in which they originated.
16. c) To categorize data based on their characteristics and usage.
17. c) To identify and protect sensitive information.
18. c) By categorizing data according to its importance and sensitivity.
19. c) Sensitivity and confidentiality
20. c) Personally identifiable information (PII)

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