Interactive Quiz ⋅ 12 Questions
By Martin Breuss
In this quiz, you’ll test your understanding of Python’s unittest.mock library. This library can help you write tests, create mock objects, and ensure your code is reliable and efficient.
You’ll revisit how to create Python Mock objects, assert that you’re using objects as you intend, inspect usage data stored on your Python mocks, configure certain aspects of your Python mock objects, and substitute your mocks for real objects using patch().
You’ll also revisit how to avoid some common problems that are inherent in Python mocking.
The quiz contains 12 questions and there is no time limit. You’ll get 1 point for each correct answer. At the end of the quiz, you’ll receive a total score. The maximum score is 100%. Good luck!
Related ResourcesCourse
Improve Your Tests With the Python Mock Object LibraryIn this course, you'll learn how to use the Python mock object library, unittest.mock, to create and use mock objects to improve your tests. Obstacles like complex logic and unpredictable dependencies make writing valuable tests difficult, but unittest.mock can help you overcome these obstacles.
Tutorial
Understanding the Python Mock Object LibraryIn this tutorial, you'll learn how to use the Python mock object library, unittest.mock, to create and use mock objects to improve your tests. Obstacles like complex logic and unpredictable dependencies make writing valuable tests difficult, but unittest.mock can help you overcome these obstacles.
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