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M3-R5.1 — NumPy Basics MCQ
24 Questions • M3-R5.1
20:00
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1
NumPy is used for?
A
Web development
B
Numerical computing with arrays
C
Database management
D
Email handling
2
To import NumPy conventionally?
A
import numpy
B
import numpy as np
C
from numpy import *
D
use numpy
3
np.array([1,2,3]) creates?
A
A Python list
B
A NumPy array
C
A tuple
D
A dictionary
4
np.zeros(5) creates?
A
Array of 5 ones
B
Array of 5 zeros
C
Empty array
D
5 random numbers
5
np.arange(0, 10, 2) produces?
A
[0,2,4,6,8,10]
B
[0,2,4,6,8]
C
[2,4,6,8,10]
D
[0,1,2,3,4]
6
np.mean([10, 20, 30]) returns?
A
10
B
20
C
30
D
60
7
arr.shape gives?
A
Size of first dimension
B
Data type of array
C
Dimensions tuple of the array
D
Sum of elements
8
np.reshape(arr, (2,3)) changes?
A
Data type
B
Values of array
C
Shape of array to 2 rows 3 cols
D
Sorts the array
9
Array operations in NumPy are performed?
A
Element by element
B
Only on first element
C
Randomly
D
Only on last element
10
np.dot(A, B) computes?
A
Element-wise multiplication
B
Matrix dot product
C
Sum of arrays
D
Difference of arrays
11
NumPy stands for?
A
Numerical Python
B
New Python
C
Number Python
D
Null Python
12
NumPy is primarily used for?
A
Web development
B
Numerical/scientific computing with arrays
C
Database management
D
GUI development
13
NumPy array is created with?
A
np.list()
B
np.array()
C
np.create()
D
np.new()
14
NumPy array is?
A
Heterogeneous
B
Homogeneous (same data type)
C
Random types
D
No type
15
np.ones(3) creates?
A
Array of zeros
B
Array of three ones
C
Empty array
D
Error
16
np.arange(0,10,2) creates?
A
[0,1,2,...10]
B
[0,2,4,6,8]
C
[2,4,6,8,10]
D
[0,10,2]
17
ndarray.shape returns?
A
Data type
B
Dimensions (rows, columns)
C
Size in bytes
D
Number of elements
18
ndarray.dtype returns?
A
Shape
B
Data type of elements
C
Size
D
Dimensions
19
np.reshape() does?
A
Deletes array
B
Changes array dimensions
C
Sorts array
D
Fills array
20
NumPy is faster than Python lists because?
A
Uses more memory
B
Uses C-level operations on contiguous memory
C
Has more functions
D
Is newer
21
np.mean(arr) returns?
A
Sum of array
B
Average/mean of array
C
Max value
D
Min value
22
np.sum(arr) returns?
A
Average
B
Total sum of array elements
C
Max value
D
Count
23
Broadcasting in NumPy allows?
A
Only same-size operations
B
Operations between arrays of different shapes
C
Only 1D arrays
D
Only 2D arrays
24
np.linspace(0,1,5) creates?
A
Random array
B
5 evenly spaced values between 0 and 1
C
Array of zeros
D
Array of ones
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Total Questions:
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Time Limit:
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Subject:
M3-R5.1
Passing:
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