Free Python Institute PCED-30-01 Exam Questions

Become Python Institute Certified with updated PCED-30-01 exam questions and correct answers

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Total 382 Questions | Updated On: Sep 24, 2026

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Question 1

Suppose you are working on a classification problem with an imbalanced dataset. Which of the following techniques would not be effective for addressing the issue?

A : Using accuracy as the evaluation metric

B : Using the Synthetic Minority Over-sampling Technique (SMOTE)

C : Using different evaluation metrics such as F1-score.

D : Under-sampling the majority class

Answer: A

Question 2

Which of the following libraries in Python is not commonly used for web scraping to collect data?

A : Scrapy

B : Selenium

C : Pandas

D : BeautifulSoup

Answer: C

Question 3

When would you typically use the iloc attribute as opposed to the loc attribute in a pandas DataFrame?

A : When you want to apply a lambda function to each row

B : When you want to drop missing values from the DataFrame

C : When you want to access rows and columns by label

D : When you want to access rows and columns by integer-location

Answer: D

Question 4

You are tasked with merging two datasets, df1 and df2, on a common column 'id'. df1 has a column 'value1' and df2 has a column 'value2'. After merging, you need to create a new column called 'total_value' that sums 'value1' and 'value2'. Which of the following code snippets accomplishes this?

A : df_merged = pd.concat([df1, df2], keys='id')df_merged['total_value'] = df_merged['value1'] + df_merged['value2']

B : df_merged = df1.merge(df2)df_merged['total_value'] = df1['value1'] + df2['value2']

C : df_merged = df1.join(df2, on='id')df_merged['total_value'] = df1['value1'] + df2['value2']

D : df_merged = pd.merge(df1, df2, on='id')df_merged['total_value'] = df_merged['value1'] + df_merged['value2']

Answer: D

Question 5

You have a dataset with 15 features and you want to visualize it on a 2D plot for exploratory data analysis. What would be the first step in using PCA (Principal Component Analysis) to achieve this?

A : Perform clustering on the dataset

B : Apply a linear regression model to reduce dimensions

C : Use a scatter plot to visualize all the features

D : Standardize the dataset

Answer: D

Page: 1 / 77

Total 382 Questions | Updated On: Sep 24, 2026

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