Recall & Review
beginner
What is regression testing?
Regression testing is a type of software testing that checks if recent code changes have broken existing features or caused new bugs.
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beginner
Why is regression testing important in data science projects?
It ensures that updates or new models do not break existing data pipelines, analyses, or reports, keeping results reliable.
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beginner
When should regression testing be performed?
After any change in code, such as bug fixes, new features, or updates, to confirm old functions still work correctly.
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intermediate
What is a common method to automate regression testing?
Using automated test scripts that run predefined tests quickly and repeatedly to catch errors early.
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intermediate
How does regression testing differ from unit testing?
Unit testing checks individual parts of code for correctness, while regression testing checks that changes don’t break existing overall functionality.
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What is the main goal of regression testing?
✗ Incorrect
Regression testing focuses on ensuring that recent code changes do not break existing features.
When should regression testing be done?
✗ Incorrect
Regression testing is done after every code change to catch any new issues early.
Which of these is a benefit of automating regression tests?
✗ Incorrect
Automation makes regression tests faster and easy to repeat whenever needed.
Regression testing is mainly used to:
✗ Incorrect
It ensures that existing features continue to work after updates.
Which testing type focuses on individual code parts rather than overall system behavior?
✗ Incorrect
Unit testing checks small parts of code separately.
Explain in your own words what regression testing is and why it matters in data science projects.
Think about how changes in code might affect your data analysis or models.
You got /3 concepts.
Describe when and how you would perform regression testing during a project update.
Consider the steps after you add or fix something in your code.
You got /3 concepts.