Free Python Institute PCED-30-01 Exam Questions
Absolute Free PCED-30-01 Exam Practice for Comprehensive Preparation
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Python Institute PCED-30-01 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: Mar 11, 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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Which of the following libraries in Python is not commonly used for web scraping to collect data?
Answer: C
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Which of the following libraries in Python is not commonly used for web scraping to collect data?
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Question 2
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Your dataset includes several categorical variables. What is the most efficient way to convert these variables into a format that can be fed into a machine learning model?
Answer: B
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Your dataset includes several categorical variables. What is the most efficient way to convert these variables into a format that can be fed into a machine learning model?
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Question 3
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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?
Answer: D
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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?
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Question 4
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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 5
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Your dataset consists of geographical data points for different species of birds. You want to visualize the distribution of these species on a geographical map. Which Python library would be most appropriate for this kind of visualization?
Answer: B
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Your dataset consists of geographical data points for different species of birds. You want to visualize the distribution of these species on a geographical map. Which Python library would be most appropriate for this kind of visualization?