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: Mar 27, 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're using a Decision Tree classifier to predict whether a transaction is fraudulent. After training, you find that the classifier has a high accuracy on the training set but performs poorly on the test set. Which of the following techniques is most suitable to improve the model's performance?
Answer: B
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You're using a Decision Tree classifier to predict whether a transaction is fraudulent. After training, you find that the classifier has a high accuracy on the training set but performs poorly on the test set. Which of the following techniques is most suitable to improve the model's performance?
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Question 2
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You have the following DataFrame named sales_data:
sales_data = pd.DataFrame({
'Year': [2021, 2021, 2022, 2022],
'Quarter': [1, 2, 1, 2],
'Revenue': [1000, 1100, 1200, 1300]
})
You want to reshape the DataFrame such that the Revenue for each Quarter becomes its own column, and the Year remains as the index. Which of the following code snippets accomplishes this?
Answer: A
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You have the following DataFrame named sales_data:
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Question 3
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When using Python's requests library to collect data from a website through HTTP requests, which status code indicates that the requested resource has been moved permanently?
Answer: D
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When using Python's requests library to collect data from a website through HTTP requests, which status code indicates that the requested resource has been moved permanently?
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Question 4
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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 5
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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)?