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Practice Questions
Test your understanding with targeted questions related to the topic.
Question 1
Easy
What does ETL stand for?
💡 Hint: Think of the steps involved in preparing data.
Question 2
Easy
Name a tool used for data manipulation.
💡 Hint: This tool allows you to work with data in Python.
Practice 4 more questions and get performance evaluation
Interactive Quizzes
Engage in quick quizzes to reinforce what you've learned and check your comprehension.
Question 1
What does 'ETL' stand for?
- Extract
- Transform
- Load
- Extract
- Transfer
- Link
- Execute
- Transform
- Load
💡 Hint: Think about the steps in data preparation.
Question 2
Is Pandas a library in Python used for data manipulation?
- True
- False
💡 Hint: Consider its usage in handling data.
Solve 1 more question and get performance evaluation
Challenge Problems
Push your limits with challenges.
Question 1
Design a simple data pipeline that collects sales data from multiple online stores, transforms the data to normalize price formats, and loads it into a centralized database.
💡 Hint: Think through each phase and example in ETL.
Question 2
How would you handle missing values in a data pipeline and why is it essential?
💡 Hint: Consider the impact of incomplete data on insights.
Challenge and get performance evaluation