Free Python Institute PCED-30-01 Exam Questions

While working with a dataset, you notice some outliers that are not errors but extreme values that are relevant to your analysis. How should you handle them for ensuring the reliability and accuracy of your Python data analysis?

You have a DataFrame df that contains duplicate rows. Your task is to remove duplicates based on two columns: 'A' and 'B'. What is the correct line of code to remove such duplicates while keeping the first occurrence?

You are developing a web application with Flask and need to collect user-generated data through web forms. What is the most appropriate way to securely collect this data in Python?

Which of the following methods is least likely to be effective when dealing with outliers in a dataset while using Python's Pandas library?

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?