How does data-driven testing assist in maintaining the scalability of API testing as the complexity of the API increases?

Data-driven testing, in the context of API testing, assists in maintaining scalability by enhancing reusability. As the complexity of the API increases, using data-driven testing allows the same set of test scripts to be reused with different sets of data. This promotes efficiency and reduces the effort needed to handle varied scenarios. By parameterizing the inputs, the testing process becomes more adaptable and scalable, ensuring effective API testing in dynamic environments.