100% Free PCED-30-01 Practice Exam Questions and Answers

You are working with a dataset that includes both categorical and continuous features. Which of the following feature scaling techniques would be most appropriate for scaling only the continuous features?

You're fetching data from an API that returns data in JSON format. After fetching the data using Python's requests library, what should you do next to convert the returned data into a Python dictionary?

You're working with a DataFrame df that contains the exam scores of students in three different classes: Math, Science, and History. You're interested in determining if the mean exam score significantly differs between these classes. What would be the most appropriate statistical test to use?

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?

You are tasked with merging two datasets, df1 and df2, on a common column 'id'. df1 has a column 'value1' and df2 has a column 'value2'. After merging, you need to create a new column called 'total_value' that sums 'value1' and 'value2'. Which of the following code snippets accomplishes this?