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: Apr 28, 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 are tasked with preparing a dataset that has a mix of continuous, ordinal, and nominal variables for a machine learning model. What would be the most appropriate encoding method for ordinal variables?
Answer: A
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You are tasked with preparing a dataset that has a mix of continuous, ordinal, and nominal variables for a machine learning model. What would be the most appropriate encoding method for ordinal variables?
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Question 2
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You are evaluating a logistic regression model using the ROC curve. Which of the following is true regarding the Area Under the Curve (AUC)?
Answer: C
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You are evaluating a logistic regression model using the ROC curve. Which of the following is true regarding the Area Under the Curve (AUC)?
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Question 3
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Which of the following techniques should be avoided to ensure that your Python data scripting code is easily understandable and follows best practices?
Answer: D
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Which of the following techniques should be avoided to ensure that your Python data scripting code is easily understandable and follows best practices?
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Question 4
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You have a DataFrame named df that has three columns: 'A', 'B', 'C'. The DataFrame has 100 rows. Your task is to create a DataFrame where each column 'A', 'B', 'C' is transformed into 3 columns each: 'A_min', 'A_max', 'A_mean', 'B_min', 'B_max', 'B_mean', 'C_min', 'C_max', 'C_mean'. Which of the following code snippets accomplishes this task?
Answer: D
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You have a DataFrame named df that has three columns: 'A', 'B', 'C'. The DataFrame has 100 rows. Your task is to create a DataFrame where each column 'A', 'B', 'C' is transformed into 3 columns each: 'A_min', 'A_max', 'A_mean', 'B_min', 'B_max', 'B_mean', 'C_min', 'C_max', 'C_mean'. Which of the following code snippets accomplishes this task?
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Question 5
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You have a dataset of a retail company's sales transactions, which includes details like customer ID, transaction amount, transaction date, and store ID. You're tasked with summarizing monthly revenue for each store. What would be the most appropriate data aggregation technique?
Answer: D
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You have a dataset of a retail company's sales transactions, which includes details like customer ID, transaction amount, transaction date, and store ID. You're tasked with summarizing monthly revenue for each store. What would be the most appropriate data aggregation technique?