(Download) CBSE Class-12 Sample Paper And Marking Scheme 2019-20 : Informatics Practices New

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(Download) CBSE Class-12 Sample Paper And Marking Scheme 2019-20 : Informatics Practices New

Sample Question paper
Informatics Practices New-(065)

Class-XII (2019-20)

Time allowed: 3 hours
Maximum Marks: 70

General Instructions:

 All questions are compulsory
 Question Paper is divided into 4 sections A,B,C and D.
 Section A comprises of questions(1 and 2)
(i) Question 1 comprises Data Handling-2(DH-2)(Series,Numpy)
(ii) Question 2 comprises of question from Data Handling -2(DH-2)(Data Frames and its operations)
 Section B comprises of questions from Basic Software Engineering.
 Section C comprises of questions from Data Management-2(DM-2)
 Section C comprises of questions from Society, Law and Ethics-2(SLE-2)

Section A

Answer the following questions :
(a) Find the output of following program.
import numpy as np
d=np.array([10,20,30,40,50,60,70])
print(d[-4:])

(b) Fill in the blank with appropriate numpy method to calculate and print the variance of an array.
import numpy as np
data=np.array([1,2,3,4,5,6])
print(np.___(data,ddof=0)

(c) Mr. Sanjay wants to plot a bar graph for the given set of values of subject on x-axis and number of students who opted for that subject on y-axis.
Complete the code to perform the following :
(i) To plot the bar graph in statement 1
(ii) To display the graph in statement 2
import matplotlib.pyplot as plt
x=['Hindi', 'English', 'Science', 'SST']
y=[10,20,30,40]
_____________________ Statement 1
_____________________ Statement 2

OR

Mr. Harry wants to draw a line chart using a list of elements named LIST.
Complete the code to perform the following operations:
(i) To plot a line chart using the given LIST,
(ii) To give a y-axis label to the line chart named “Sample
Numbers”.
import matplotlib.pyplot as PLINE
LIST=[10,20,30,40,50,60]
_____________________ Statement 1
_____________________ Statement 2
PLINE.show()

(d) Write the output of the following code :
import numpy as np
array1=np.array([10,12,14,16,18,20,22])
array2=np.array([10,12,15,16,12,20,12])
a=(np.where(array1==array2))
print(array1[a])

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