The correct answer is Boosting collaboration and reusability. A Feature Store significantly enhances teamwork by centralizing machine learning features. This centralization facilitates easier sharing, reuse, and maintenance of features across various projects, fostering a collaborative environment. By leveraging shared features, teams can achieve greater efficiency and build upon each other's work, leading to more consistent and scalable machine learning models.