Transform Columns Quiz

Quiz covering Transform and Load the Data

Questions in this quiz

A preview of the 5 questions covered. Start the quiz above to answer them, check your score, and read the explanations.

1. 1

   When transforming data, what is the primary purpose of renaming columns?

2. 2

   You have a column containing full names (e.g., 'John Doe'). You need to split this into two separate columns: 'First_Name' and 'Last_Name'. Which transformation technique is most appropriate?

3. 3

   Why is it important to standardize date formats across a dataset during the transformation phase?

4. 4

   If you are applying a 'Categorical Encoding' transformation to a column containing 'High', 'Medium', and 'Low' values, what is the best practice to maintain the inherent order?

5. 5

   You are performing a complex transformation where you need to calculate a new column 'Profit_Margin' based on existing 'Revenue' and 'Cost' columns. If the 'Cost' column has missing values, how should you handle this to prevent the calculation from failing or producing inaccurate results?