What is a concise description of how GraphQL helps with data-fetching inefficiencies?

What is a concise description of how GraphQL helps with data-fetching inefficiencies?

• A. GraphQL lets clients specify exactly the fields they need, usually in a single query.
• B. GraphQL always downloads the entire dataset.
• C. GraphQL reduces data transmission by automatically compressing responses.
• D. GraphQL prevents any caching.

Answer: (A)

GraphQL reduces data-fetching inefficiencies by letting the client specify exactly which fields are needed, typically in a single query. This means the server returns only the requested data, avoiding over-fetching (getting more than you need) and reducing the number of round trips compared to traditional REST approaches that fetch fixed resources. In practice, you describe the precise data shape you want, and you get a response that matches that shape, which can cut bandwidth and latency significantly. The other statements miss the core point: GraphQL does not inherently download everything, it does not rely on automatic compression to save data, and caching can still be used with GraphQL through various layers.

GraphQL reduces data-fetching inefficiencies by letting the client specify exactly which fields are needed, typically in a single query. This means the server returns only the requested data, avoiding over-fetching (getting more than you need) and reducing the number of round trips compared to traditional REST approaches that fetch fixed resources. In practice, you describe the precise data shape you want, and you get a response that matches that shape, which can cut bandwidth and latency significantly. The other statements miss the core point: GraphQL does not inherently download everything, it does not rely on automatic compression to save data, and caching can still be used with GraphQL through various layers.