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CBSE Class 12 Marking Scheme 2022 for Informatics Practices

Get here latest CBSE Class 12 2022 Marking Scheme for Informatics Practices. It will help you to score well and prepare for the final examination according to a latest pattern. We have also provided you with the latest sample paper for this marking scheme, as it would help you understand the pattern and division of sections. More Detail
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About CBSE Class 12 Marking Scheme 2022 for Informatics Practices

CBSE Class 12 Marking Scheme 2022 for Informatics Practices is available here for free download. Published by CBSE for Class 12, this marking scheme can be viewed online or downloaded as a PDF (2 pages). Candidates preparing for Class 12 can use CBSE Class 12 Marking Scheme 2022 for Informatics Practices to understand the exam pattern, the type of questions asked, and the overall difficulty level.

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CBSE Class 12 Marking Scheme 2022 for Informatics Practices contains 2 pages, which you can read online or download together as a single PDF.

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CBSE Class 12 Marking Scheme 2022 for Informatics Practices – Text

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Page 1

Marking Scheme Subject: Informatics Practices Class - XII 1. a. Panel Data 2. d. pip install pandas 3. c. Wes McKinney 4. c. 1 Dimensional 5. c. Library 6. C. Both of the above 7. b colour() 8. a. 1 9. a. loc() 10. a. Savefig() 11. b. Digital Footprint 12. d. Installing antivirus software 13. a. Free 14. b. import pandas as 1pd 15. c Intellectual Property Rights 16. c Patent 17. a. Key Error 18. a. Plagiarism 19. b. head (n) 20. d. Sound Pollution 21. b. No 22. d. IT Act 23. a. dictionary of tuples 24. c. read_csv() 25. a. length 26. c. 3 27. d. stud.size 28. c. S=pd.Series(Monument,index=State) 29. b. Phishing 30. b import matplotlib.pyplot as plt plt.plot([1,2,3],[4,5,1]) plt.show() 31. c. Statement A is correct, but Statement B is incorrect 32. d. histogram 33. a. Ubuntu 34. b Statements 2 and 3 35. c. W Wolf B Bear dtype: object 36. d. go to his parents, teacher, or other trusted adult and let them know that he feels uncomfortable. 37. c. dfRent.loc[0] 38. d. All of the above 39. c. loc() is label based function and iloc() integer position based function.

Page 2

40. b a NaN v -1.0 w 2.0 x NaN y 2.0 z 8.0 dtype: float64 41. d. All of the above 42. a DF.drop([2,4],axis=0) 43. c B 2 D 4 F 6 dtype: int64 44. a. df=pd.DataFrame({"Name":Name,"Phy":Phy,"Chem":Chem}) 45. b. FOSS 46. b. print(df.shape) 47. b. 50000 48. a. 0 45.0 1 NaN 2 43.5 Name: Marks, dtype: float64 49. c. Statement A is correct, but Statement B is incorrect 50. a. DF['Prem']=[89,78,76] 51. c DF[:]=0 52. b. DF.drop('Science', axis=0) 53. b. DF.append(S1) 54. b. Navee n Rehana John Roja Mannat A 90 92 89 81 94 B 91 81 91 71 95 C 97 96 88 67 99 55. a. 15

Document Details

Board / OrgCBSE
ExamClass 12
TypeSolution
Pages2
Updated30 Apr 2026