When designing a data-driven test for an API that interacts with multiple external services, what key factor must be considered for data variability and accuracy?

Incorporating delays between service interactions is a key factor in designing a data-driven test for an API that interacts with multiple external services. This helps mimic real-world scenarios where different services may respond at varying speeds, ensuring data variability and accuracy in the test. Static data may not capture these dynamics, randomizing data for each call may introduce unpredictability, and using predetermined data for all interactions may not reflect real-world conditions.