You optimize search functionality for TechStore's e-commerce platform. Simulation Details: TechStore is a leading e-commerce platform specializing in electronics and gadgets, serving over 10 million active users. Known for its innovation and customer satisfaction, the company has rapidly expanded its product catalog by 40% in the last three years, offering flagship items like iPhones, Samsung TVs, and iPads alongside a diverse range of home appliances. However, this growth has introduced scalability challenges, particularly in optimizing search functionality. Customers often struggle to find products within specific price ranges or categories, leading to increased abandoned searches and missed sales opportunities. To address these issues, TechStore aims to enhance its search capabilities, reduce server load, and improve user experience by implementing advanced filtering and sorting methods. As a Java Developer specializing in backend development, you will play a critical role in enhancing TechStore’s search functionality. Your task is to implement three advanced search methods in the ProductRepository.java file: findByCategory(String category), findByPriceLessThan(Double maxPrice), and findByCategoryOrderByPriceAsc(String category). These methods will improve search efficiency and align with customer expectations. You will collaborate with Taylor Reyes, the Product Manager, through real-time chat to iteratively refine your implementation based on her feedback. Your mission is to balance technical constraints with business priorities, ensuring the solution adheres to Spring Data JPA naming conventions, clean coding principles, and scalability requirements. - Implement three advanced search methods in the ProductRepository.java file. - Collaborate with Taylor Reyes via real-time chat to receive feedback and refine your code. - Ensure the implementation aligns with Spring Data JPA naming conventions and clean coding principles. - Optimize search functionality to improve customer satisfaction and reduce average search times. - Deliver a scalable and maintainable solution that addresses edge cases and prepares for future catalog expansions.