A data engineering team is developing a data pipeline to process JSON data from a new source. The team notices that some records are being processed incorrectly due to mismatched data types, leading to errors in downstream applications. The team is considering using schema inference to automatically detect and apply the correct data types to the JSON fields. However, they are concerned about the accuracy of schema inference, especially since the JSON data contains a mix of data types and some fields are optional. The team must ensure that the solution is cost-effective, scalable, and minimizes manual intervention. Given this scenario, which of the following best describes the concept of schema inference and its application in resolving the data type mismatch issue? (Choose one option)