GraphQL - Basics and PhilosophyWhy is over-fetching considered inefficient in GraphQL compared to REST APIs?ABecause GraphQL allows clients to specify exactly what data they want, so extra data is avoidableBBecause GraphQL always fetches all data regardless of queryCBecause REST APIs never over-fetch dataDBecause GraphQL queries are slower than REST requestsCheck Answer
Step-by-Step SolutionSolution:Step 1: Understand GraphQL flexibilityGraphQL lets clients specify exactly which fields they want.Step 2: Compare with over-fetching impactOver-fetching is inefficient because it requests more data than needed, which GraphQL can avoid.Final Answer:Because GraphQL allows clients to specify exactly what data they want, so extra data is avoidable -> Option AQuick Check:GraphQL precise queries reduce over-fetching [OK]Quick Trick: GraphQL avoids over-fetching by letting clients choose fields [OK]Common Mistakes:Thinking GraphQL always fetches all dataBelieving REST APIs never over-fetchConfusing query speed with data amount
Master "Basics and Philosophy" in GraphQL9 interactive learning modes - each teaches the same concept differentlyLearnWhyDeepVisualTryChallengeProjectRecallTime
More GraphQL Quizzes GraphQL Basics and Philosophy - Single endpoint architecture - Quiz 4medium GraphQL Basics and Philosophy - GraphQL vs REST comparison - Quiz 15hard Mutations - Mutation syntax - Quiz 14medium Queries - Nested field queries - Quiz 15hard Resolvers - Context argument - Quiz 12easy Resolvers - Parent (root) argument - Quiz 12easy Schema Definition Language (SDL) - List types - Quiz 2easy Schema Definition Language (SDL) - Object types - Quiz 15hard Schema Definition Language (SDL) - Type definitions - Quiz 10hard Type Relationships - Bidirectional relationships - Quiz 14medium