In a situation where an API is updated frequently, how would data-driven testing ensure the consistency of test results?

Storing test data separately from test scripts ensures the consistency of test results when an API is updated frequently. This approach decouples test data from the scripts, allowing easy updates to the API without affecting the test logic. Version control helps manage changes but is not directly related to data-driven testing. Constantly modifying test scripts is not efficient and can lead to errors. Automated tools can assist, but storing test data separately is a more robust solution.