Which approach can optimize performance in Power Apps?

Implementing lazy loading and delegation is an effective approach for optimizing performance in Power Apps because it allows applications to handle data more efficiently by managing how data is loaded and processed.

Lazy loading is a technique where the application loads only the data that is currently needed, instead of all available data at once. This reduces the initial load time and enhances the user experience by minimizing wait times. It ensures that users only access the data relevant to their current context, which is particularly crucial when dealing with large datasets.

Delegation is the capability of Power Apps to offload data processing tasks to the data source instead of handling them client-side. This means that only a subset of data is brought into the app, based on user actions or filters, while the heavy lifting of data processing occurs on the server. By leveraging delegation, applications can perform more complex queries efficiently and maximize performance.

In contrast, increasing data connections might lead to complexity issues and could overload the application, making it slower rather than more efficient. Enhancing graphics for visual appeal does not directly contribute to performance optimization; while it may improve user engagement, it could also slow down load times. Exclusively using predefined templates is more focused on design consistency than on optimizing performance, potentially leading to limitations in addressing specific