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: Nov 24, 2025
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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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Your dataset has multiple variables with different scales and units, making it challenging to compare them directly. You need to synthesize this data into a digestible report for decision-makers who are not data scientists. What should be your first step in preprocessing the data?
Answer: B
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Your dataset has multiple variables with different scales and units, making it challenging to compare them directly. You need to synthesize this data into a digestible report for decision-makers who are not data scientists. What should be your first step in preprocessing the data?
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Question 3
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You are given a DataFrame df with a column 'Date' of type string in the format 'YYYY-MM-DD'. You want to filter the rows where the year is 2020. Which of the following code snippets is the most efficient way to do so?
Answer: C
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You are given a DataFrame df with a column 'Date' of type string in the format 'YYYY-MM-DD'. You want to filter the rows where the year is 2020. Which of the following code snippets is the most efficient way to do so?
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Question 4
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You are trying to improve a linear regression model by adding polynomial features. After adding the polynomial features, you observe that the model performs much better on the training set but worse on the validation set. What is likely happening?
Answer: C
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You are trying to improve a linear regression model by adding polynomial features. After adding the polynomial features, you observe that the model performs much better on the training set but worse on the validation set. What is likely happening?
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Question 5
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You are working on a project that requires real-time data collection from a WebSocket API. Which of the following Python libraries would be most appropriate for this task?
Answer: B
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You are working on a project that requires real-time data collection from a WebSocket API. Which of the following Python libraries would be most appropriate for this task?