Data Literacy Class 9 AI MCQ – The CBSE has changed the previous textbook and the syllabus of Std. IX. The new notes are made based on the new syllabus and based on the New CBSE textbook. All the important Information are taken from the Artificial Intelligence Class IX Textbook Based on CBSE Board Pattern.
Data Literacy Class 9 AI MCQ
1. Cultivating data literacy means:
a. Utilize vocabulary and analytical skills
b. Acquire, develop, and improve data literacy skills
c. Develop skills in statistical methodologies
d. Develop skills in math
2. Data privacy and data security are often used interchangeably, but they are different from each other.
a. True
b. False
3. The __ provides guidance on using data efficiently and with all levels of awareness.
a. data security framework
b. data literacy framework
c. data privacy framework
d. data acquisition framework
4. _ allows us to understand why things are happening in a particular way.
a. data
b. information
c. knowledge
d. wisdom
5. _ is the practice of protecting digital information from unauthorized access, corruption, or theft throughout its entire lifecycle.
a. data security
b. data literacy
c. data privacy
d. data acquisition
6. What are the basic building blocks of qualitative data?
a. Individuals
b. Units
c. Categories
d. Measurements
7. Which among these is not a type of data interpretation?
a. Textual
b. Tabular
c. Graphical
d. Raw data
8. Quantitative data is numerical in nature.
a. True
b. False
9. A bar graph is an example of?
a. Textual
b. Tabular
c. Graphical
d. None of the above
10. _ relates to the manipulation of data to produce meaningful insights.
a. Data Processing
b. Data Interpretation
c. Data Analysis
d. Data Presentation
11. The ability to understand, explore, and communicate with data is known as _.
a. Data security
b. Data literacy
c. Data privacy
d. Data acquisition
12. Who can derive some meaningful information from the data?
a. Data-literate people
b. Data administrator
c. Both a. and b.
d. None of the above
13. AI relies on _ for making decisions.
a. Data
b. Information
c. Both a. and b.
d. None of the above
14. What do you mean by data literacy?
a. The ability to read and write data
b. The person who can collect the data
c. The ability to find and use data effectively
d. The ability to analyze data using AI
15. What are the benefits of data literacy in any organization?
a. Improved business outcomes
b. Better customer understanding
c. Better decision-making in the organization
d. All of the above
16. To whom we can say that the person is data literate.
a. The person has the ability to understand the data
b. The person has the ability to develop statistical & analytical skills
c. The person can interpret data accurately
d. All of the above
17. Data is classified into how many types?
a. 4 types
b. 3 types
c. 2 types
d. None of the above
18. Data that is organized in a well-defined format is called __.
a. Structured data
b. Unstructured data
c. Both a. and b.
d. None of the above
19. Structured data is usually stored in the computer in a __.
a. Randomly format
b. In tabular format
c. In sequential format
d. None of the above
20. If the data is not organized properly or does not have any fixed pattern, this type of data is known as __.
a. Structured data
b. Unstructured data
c. Both a. and b.
d. None of the above
21. Unstructured data are sometimes described with the help of some other data called _.
a. Metadata
b. Dataset
c. Table data
d. None of the above
22. Metadata is basically data about _.
a. Information
b. Data
c. Both a. and b.
d. None of the above
23. What is a data pyramid?
a. A method to convert the raw data to the meaningful data
b. A method to convert the raw data to unstructured data
c. A method to convert structured data to unstructured data
d. None of the above
24. DIKW stands for _.
a. Data, Internet, Knowledge, Wisdom
b. Data, Information, Knowledge, Withdraw
c. Data, Information, Knowledge, Wisdom
d. None of the above
25. Which of the following data flows is the top level of the DIKW pyramid?
a. Data
b. Information
c. Knowledge
d. Wisdom
26. In the DIKW pyramid, which of the relevant questions are used to convert the raw data to information?
a. Who? What?
b. When?
c. Where?
d. All of the above
27. What are the potential risks associated with data __?
a. Data loss
b. Phishing Attacks
c. Password attacks
d. All of the above
28. What measures are used to protect data?
a. User strong password
b. Download software from trusted sources.
c. Update your antivirus, browser, and OS.
d. All of the above
29. Search queries on the internet are the example of _.
a. Quantitative Data
b. Qualitative Data
c. Both a. and b.
d. None of the above
30. Data is classified into __.
a. Textual Data and Numeric Data
b. Qualitative Data and Quantitative Data
c. Both a. and b.
d. None of the above
31. _ method helps to extract meaningful data from the image and patterns.
a. Data discovery
b. Data augmentation
c. Data generation
d. None of the above
32. __ is an AI-based technique that uses existing data to create new data to improve machine learning models.
a. Data discovery
b. Data augmentation
c. Data generation
d. None of the above
33. When the large amount of data is processed and simplified using software or using algorithms, it is known as _.
a. Data discovery
b. Data augmentation
c. Data generation
d. None of the above
34. What do you mean by primary data source”?
a. The data is collected from the original source
b. The data is collected from other sources & the original source
c. The data is collected from someone else for other purposes
d. All of the above
35. What do you mean by secondary data source?
a. The data is collected from the original source
b. The data is collected from other sources & the original source
c. The data is collected from someone else for other purposes
d. All of the above
36. What is the quality of good data?
a. Well-structured
b. Accurate
c. Consistent
d. All of the above
37. What do you mean by “ethical concerns in data acquisition”?
a. Everyone has to know the difference between right and wrong
b. Protecting the privacy of individuals
c. Always try to do the thing in the right manner
d. All of the above
38. Which of the following are primary factors determining the usability of the data?
a. Structure
b. Cleanliness
c. Accuracy
d. All of the above
39. To understand and analyze the data, which of the following is a feature of AI models?
a. Independent
b. Dependent
c. Both a. and b.
d. None of the above
40. Which of the following processes is used to make some sense out of the data that has been processed?
a. Data Interpretation
b. Data Preprocessing
c. Data Critical
d. All of the above
41. The qualitative data used text and tells us about the _.
a. Emotions
b. Thoughts
c. Experiences
d. All of the above
42. Quantitative data interpretation is a process for analyzing numerical data using __ methods.
a. Nominal method
b. Ordinal method
c. Statistical method
d. None of the above
43. Data interpretations are classified in _ types.
a. 4 Types
b. 3 Types
c. 2 Types
d. None of the above
44. Which of the data interpretations is used in the form of text?
a. Textual Data Interpretation
b. Tabular Data Interpretation
c. Graphical Data Interpretation
d. None of the above
45. Which of the data interpretations is used in the form of rows and columns?
a. Textual Data Interpretation
b. Tabular Data Interpretation
c. Graphical Data Interpretation
d. None of the above
46. Which of the data interpretations is used in the form of graphs?
a. Textual Data Interpretation
b. Tabular Data Interpretation
c. Graphical Data Interpretation
d. None of the above
47. Which of the following will not be considered as data?
a. Structured
b. Unstructured
c. Interpreted
d. None of the above
48. What do you mean by ordinal data represent?
a. The data with no order
b. The data can be ranked or ordered.
c. Data that cannot be ranked
d. None of the above
49. What is the primary source of collecting data in AI?
a. Web scraping
b. Survey
c. Social media
d. All of the above
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