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: Apr 28, 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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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 2
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You are required to present a comparative analysis of the sales data of five different products over the last year. What would be the most effective way to visualize this data?
Answer: D
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You are required to present a comparative analysis of the sales data of five different products over the last year. What would be the most effective way to visualize this data?
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Question 3
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Suppose you have a DataFrame df with columns Name, Age, Gender, and Salary. Which of the following code snippets will filter the DataFrame to include only rows where Age is more than 25 and Salary is less than 50000, and also sort the resulting DataFrame by Name?
Answer: A
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Suppose you have a DataFrame df with columns Name, Age, Gender, and Salary. Which of the following code snippets will filter the DataFrame to include only rows where Age is more than 25 and Salary is less than 50000, and also sort the resulting DataFrame by Name?
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Question 4
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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 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?