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Test: Arrays - 2 - EmSAT Achieve MCQ


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15 Questions MCQ Test - Test: Arrays - 2

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Test: Arrays - 2 - Question 1

Which of the following statements about arrays in Python is correct?

Detailed Solution for Test: Arrays - 2 - Question 1

In Python, arrays can be created using the array module. This module provides a class called array that allows creating arrays of a specific data type.

Test: Arrays - 2 - Question 2

What is the time complexity of accessing an element by index in an array?

Detailed Solution for Test: Arrays - 2 - Question 2

Accessing an element by index in an array has a time complexity of O(1) since it directly accesses the memory location based on the index.

Test: Arrays - 2 - Question 3

In Python, arrays can be created using which of the following modules?

Detailed Solution for Test: Arrays - 2 - Question 3

Arrays can be created using different modules in Python, including numpy, array, and collections.

Test: Arrays - 2 - Question 4

Which of the following is an advantage of using arrays in Python?

Detailed Solution for Test: Arrays - 2 - Question 4

One advantage of using arrays in Python is that they can have a dynamic size, meaning elements can be added or removed easily.

Test: Arrays - 2 - Question 5

In Python, arrays are zero-indexed. What does this mean?

Detailed Solution for Test: Arrays - 2 - Question 5

In Python, arrays are zero-indexed, which means the first element of an array has an index of 0.

Test: Arrays - 2 - Question 6

What will be the output of the following code?
my_array = [1, 2, 3, 4, 5]
print(my_array[2])

Detailed Solution for Test: Arrays - 2 - Question 6

The code my_array[2] accesses the element at index 2 in the array my_array, which is 3.

Test: Arrays - 2 - Question 7

What will be the output of the following code?
my_array = [[1, 2, 3], [4, 5, 6], [7, 8, 9]]
print(my_array[1][2])

Detailed Solution for Test: Arrays - 2 - Question 7

The code my_array[1][2] accesses the element at index (1, 2) in the 2D array my_array, which is 6.

Test: Arrays - 2 - Question 8

What will be the output of the following code?
import numpy as np

my_array = np.array([1, 2, 3, 4, 5])
print(my_array[3])

Detailed Solution for Test: Arrays - 2 - Question 8

The code my_array[3] accesses the element at index 3 in the numpy array my_array, which is 4.

Test: Arrays - 2 - Question 9

What will be the output of the following code?
import numpy as np

my_array = np.array([[1, 2, 3], [4, 5, 6], [7, 8, 9]])
print(my_array[2][1])

Detailed Solution for Test: Arrays - 2 - Question 9

The code my_array[2][1] accesses the element at index (2, 1) in the 2D numpy array my_array, which is 8.

Test: Arrays - 2 - Question 10

What will be the output of the following code?
import numpy as np

my_array = np.array([1, 2, 3, 4, 5])
new_array = my_array.copy()
new_array[2] = 10
print(my_array[2])

Detailed Solution for Test: Arrays - 2 - Question 10

The code my_array[2] = 10 modifies the element at index 2 in the array new_array, not affecting the original array my_array. Therefore, the value of my_array[2] remains 3.

Test: Arrays - 2 - Question 11

Given a 2D array matrix, how can we access all the elements of the first row in Python using a loop?

Detailed Solution for Test: Arrays - 2 - Question 11

To access all the elements of the first row in a 2D array matrix, we can use a loop and iterate over the indices of the row, printing each element.

Test: Arrays - 2 - Question 12

Which of the following methods can be used to find the maximum element in a 2D array matrix using numpy?

Detailed Solution for Test: Arrays - 2 - Question 12

The numpy library provides multiple methods to find the maximum element in a 2D array, including matrix.max(), np.amax(matrix), and np.max(matrix).

Test: Arrays - 2 - Question 13

Given a 2D array matrix, how can we obtain the transpose of the matrix in Python using numpy?

Detailed Solution for Test: Arrays - 2 - Question 13

The numpy library provides multiple methods to obtain the transpose of a matrix, including np.transpose(matrix), matrix.transpose(), and matrix.T.

Test: Arrays - 2 - Question 14

Which of the following numpy functions can be used to concatenate two arrays vertically?

Detailed Solution for Test: Arrays - 2 - Question 14

The np.vstack() function in numpy can be used to concatenate two arrays vertically.

Test: Arrays - 2 - Question 15

Given an array arr, how can we pass it as an argument to a function my_function in Python?

Detailed Solution for Test: Arrays - 2 - Question 15

To pass an array arr as an argument to a function my_function in Python, we can directly pass the array name arr as an argument. No special syntax is required.

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