Free Python Institute PCED Exam Questions
Absolute Free PCED Exam Practice for Comprehensive Preparation
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Python Institute PCED Exam Questions
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Provided By: Python Institute
- Exam: Certified Entry-Level Data Analyst with Python
- Certification: PCED
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Total Questions: 382
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Updated On: Aug 03, 2026
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Rated: 4.9 |
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Online Users: 764
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Question 1
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You need to collect data from an Excel file with multiple sheets. One of the sheets is named "Sales" and another is named "Inventory". You want to load the "Sales" sheet into a DataFrame named df_sales and the "Inventory" sheet into a DataFrame named df_inventory. Which of the following code snippets accomplishes this?
Answer: B
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You need to collect data from an Excel file with multiple sheets. One of the sheets is named "Sales" and another is named "Inventory". You want to load the "Sales" sheet into a DataFrame named df_sales and the "Inventory" sheet into a DataFrame named df_inventory. Which of the following code snippets accomplishes this?
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Question 2
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What is the most appropriate technique to handle missing values for a categorical column in a dataset before fitting it to a model?
Answer: D
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What is the most appropriate technique to handle missing values for a categorical column in a dataset before fitting it to a model?
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Question 3
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Your Python script is taking significantly longer than expected to complete. Which Python standard library could provide you with granular insights into the time taken by different parts of your code?
Answer: B
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Your Python script is taking significantly longer than expected to complete. Which Python standard library could provide you with granular insights into the time taken by different parts of your code?
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Question 4
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You have the following Pandas DataFrame with some missing values:
import pandas as pd
import numpy as np
df = pd.DataFrame(
{"A": [1, np.nan, 3], "B": [4, 5, np.nan], "C": [7, 8, 9]}
)
How would you fill the missing values in column 'A' with the mean value of that column?
Answer: B
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You have the following Pandas DataFrame with some missing values:
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Question 5
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You are pulling data from various databases using Python to compile a large dataset for analysis. How would you ensure the data’s accuracy and reliability?
Answer: C
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You are pulling data from various databases using Python to compile a large dataset for analysis. How would you ensure the data’s accuracy and reliability?