The n+1 problem is a performance anti-pattern characterized by making one initial query to fetch a list of items, followed by N separate queries to fetch related data for each item. API Mesh directly addresses this inefficiency through its batching capability. By configuring a batching strategy in the mesh source handler, a developer can instruct API Mesh to collect multiple individual requests for related data and combine them into a single, consolidated upstream API call. This significantly reduces the number of network round-trips, directly resolving the n+1 problem and improving application performance.

A. API Mesh unifies existing APIs under a single GraphQL endpoint; it does not replace them. This describes its function, not the solution to the n+1 problem.

C. This is a high-level description of API Mesh's purpose. It is not the specific implementation detail that solves the n+1 performance issue.

1. Adobe. (n.d.). GraphQL source handler. Adobe Developer Documentation. Retrieved from https://developer.adobe.com/graphql-mesh-gateway/mesh/sources/graphql/. In the "Batching" section

the documentation explicitly describes how to use the batch property to "batch multiple calls to the same source into a single call

" which is the direct technical solution to the n+1 problem.

2. Adobe. (n.d.). API Mesh overview. Adobe Developer Documentation. Retrieved from https://developer.adobe.com/graphql-mesh-gateway/. The overview states that API Mesh "reduces the number of API requests that a client application needs to make

" which is the fundamental goal when solving the n+1 problem.

3. Adobe. (2023). API Mesh. Adobe Commerce Developer Guide. Retrieved from https://developer.adobe.com/commerce/extensibility/api-mesh/. This guide highlights that a key benefit of API Mesh is to "improve storefront performance" by combining services

thus preventing the multiple

inefficient API calls characteristic of the n+1 pattern.