Free Python Institute PCAD Exam Questions

Become Python Institute Certified with updated PCAD exam questions and correct answers

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Total 205 Questions | Updated On: Dec 18, 2025

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Question 1

What is the output of the following code snippet? import numpy as np arr = np.array([1, 2, 3, 4, 5]) result = arr[arr > 2]

A : [3, 4, 5]

B : [2, 3, 4, 5]

C : [1, 2, 3, 4, 5]

D : [1]

Answer: A

Question 2

How can missing values in a DataFrame be handled in Pandas?

A : Removing the rows with missing values

B : Interpolating missing values

C : Replacing missing values with a specific value

D : All of the above

Answer: D

Question 3

What is the purpose of the np.random.rand() function in NumPy?

A : To shuffle the elements of an array randomly.

B : To generate an array of random integers.

C : To generate an array of random floats between 0 and 1.

D : To calculate the standard deviation of an array.

Answer: C

Question 4

Which Seaborn function can be used to create a bar plot?

A : sns.heatmap()

B : sns.boxplot()

C : sns.barplot()

D : sns.scatterplot()

Answer: C

Question 5

Which of the following is NOT a type of plot supported by Matplotlib?

A : Bar plot

B : Heatmap plot

C : Scatter plot

D : Line plot

Answer: B

Page: 1 / 41

Total 205 Questions | Updated On: Dec 18, 2025

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