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What action should a developer take to ensure tests pass after modifying data model validations?

  1. Modify all existing tests

  2. Revert data model to previous state

  3. Include methods to create valid records

  4. Use only default data for testing

The correct answer is: Include methods to create valid records

Including methods to create valid records is crucial after modifying data model validations because test cases rely on the integrity and validity of the data they operate on. If validations have changed, existing test data may no longer comply with the new rules, leading to test failures. By creating methods that generate valid records according to the updated validations, developers can ensure their tests run successfully, reflecting the new requirements of the data model. This approach not only resolves compatibility issues with the modified validations but also promotes good testing practices, such as maintaining test case reliability and reusability. Instead of hardcoding valid data, using methods to create these records allows a more dynamic and maintainable testing strategy that can adapt to future changes in the data model. Other methods, like reverting the data model or modifying all existing tests, can lead to a more cumbersome and less efficient maintenance process. Utilizing default data may not accurately reflect the varied scenarios intended to be tested, potentially overlooking edge cases or specific business logic related to the changes. Therefore, creating methods to generate valid records is a more robust and effective solution to ensure the success of the tests.