Free Python Institute PCED-30-01 Exam Questions
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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: Jun 04, 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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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 2
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When using Python to collect data from an API, which of the following statements about OAuth (Open Authorization) is true?
Answer: D
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When using Python to collect data from an API, which of the following statements about OAuth (Open Authorization) is true?
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Question 3
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You've built a logistic regression model to predict whether a loan applicant will default on a loan (Default or No Default). After training, the model's AUC-ROC score is 0.95 on the training set but only 0.60 on the test set. What is most likely the reason for this discrepancy?
Answer: A
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You've built a logistic regression model to predict whether a loan applicant will default on a loan (Default or No Default). After training, the model's AUC-ROC score is 0.95 on the training set but only 0.60 on the test set. What is most likely the reason for this discrepancy?
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Question 4
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Which of the following methods is least likely to be effective when dealing with outliers in a dataset while using Python's Pandas library?
Answer: B
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Which of the following methods is least likely to be effective when dealing with outliers in a dataset while using Python's Pandas library?
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Question 5
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Which of the following best describes the concept of 'State' in a Dash application?
Answer: A
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Which of the following best describes the concept of 'State' in a Dash application?