GraphQL - Basics and PhilosophyHow can you optimize a GraphQL single endpoint to reduce over-fetching when clients request large nested data?AUse query variables and fragments to request only needed fieldsBDisable nested queries entirelyCReturn all fields by default regardless of queryDSplit the single endpoint into multiple endpointsCheck Answer
Step-by-Step SolutionSolution:Step 1: Identify over-fetching problemClients may request more data than needed causing performance issues.Step 2: Use query variables and fragmentsThese allow clients to specify exactly which fields they want, reducing data size.Final Answer:Use query variables and fragments to request only needed fields -> Option AQuick Check:Variables and fragments reduce over-fetching [OK]Quick Trick: Use variables and fragments to limit requested data [OK]Common Mistakes:Disabling nested queries reduces flexibilityReturning all fields wastes bandwidthSplitting endpoint loses GraphQL benefits
Master "Basics and Philosophy" in GraphQL9 interactive learning modes - each teaches the same concept differentlyLearnWhyDeepVisualTryChallengeProjectRecallTime
More GraphQL Quizzes GraphQL Basics and Philosophy - GraphQL vs REST comparison - Quiz 6medium GraphQL Basics and Philosophy - GraphQL Playground and tools - Quiz 5medium Mutations - Mutation syntax - Quiz 14medium Mutations - Create mutation pattern - Quiz 6medium Mutations - Input type for complex arguments - Quiz 7medium Queries - Aliases for field renaming - Quiz 4medium Resolvers - Parent (root) argument - Quiz 14medium Resolvers - Default resolvers - Quiz 6medium Schema Definition Language (SDL) - Type definitions - Quiz 15hard Type Relationships - Many-to-many relationships - Quiz 14medium