Python Quiz: Choosing Test Data - GCSE CS

What is the purpose of generating random test data in Python?

• To make the code more complicated

• To slow down the code execution

• To make the code easier to debug

• To test the functionality and performance of the code under various scenarios.

How can you generate random integers within a specific range in Python?

• random.int()

• random.randomint()

• random.range()

• random.randint()

What are some best practices for choosing test data in Python?

• Only using valid input data

• Not considering the performance impact of the test data

• Using a variety of input values, including edge cases and boundary conditions, using both valid and invalid input data, and considering the performance impact of the test data.

• Using the same input data for all tests

Why is it important to consider edge cases when choosing test data in Python?

• Edge cases are too rare to be worth considering

• Test data should only include common scenarios

• Considering edge cases helps to ensure that the code is robust and can handle unexpected inputs or scenarios.

• Considering edge cases is not important in Python

How can you generate test data for strings in Python?

• Using the Faker library or manually creating a list of sample strings

• By asking users to input test data for strings

• By using the datetime library to create test data for strings

• Using the Faker library or randomly generating strings

Explain the process of generating test data for lists in Python.

• Use the random module to create random elements and populate the list with them.

• Use the input module to manually enter each element into the list.

• Import the list from an external file and use it as test data.

• Create a loop to iterate through a range of numbers and add them to the list.

What are some techniques for generating test data for dictionaries in Python?

• Using the pandas library to create test cases

• Using the datetime module to generate test data

• Using the random module and manually creating test cases

• Hardcoding the test data directly into the code

How can you generate test data for datetime objects in Python?

• Using the datetime module and its functions

• By manually inputting the date and time

• By importing data from an external file

• Using the random module