As a Microsoft Fabric Analytics Engineer Associate, you are tasked with implementing a data validation process for a large-scale data analytics project. The project involves processing sensitive financial data that must comply with strict regulatory standards. The data validation process must ensure high data quality and accuracy while minimizing the risk of errors and inconsistencies. However, the solution must also consider the potential impact on processing time and the risk of false positives or negatives. Given these requirements, which of the following best describes the potential benefits and drawbacks of implementing a data validation process in this scenario? (Choose one option)