Given the following GraphQL schema snippet:
type Author { id: ID! name: String! books: [Book!]! } type Book { id: ID! title: String! pages: Int! }And this query:
{ author(id: "1") { name books { title pages } } }Assuming the author with id "1" has two books: "GraphQL Basics" (100 pages) and "Advanced GraphQL" (250 pages), what will the query return?
Think about what fields are requested inside the books field.
The query requests name of the author and for each book, both title and pages. So the response includes all these fields.
When designing a GraphQL API, what is the main factor that increases the complexity of a query?
Think about what makes a query take longer to process.
Query complexity depends mainly on how many fields are requested and how deeply nested they are, because each field may require separate data fetching.
Find the syntax error in the following GraphQL query:
{ user(id: "2") { name email posts { title content } }Check if all braces are properly closed.
The query is missing the final closing curly brace '}' which is required to close the root selection set.
You have a GraphQL query that fetches deeply nested data causing performance issues. Which approach best reduces query complexity?
Think about server-side controls to prevent expensive queries.
Limiting query depth on the server prevents clients from requesting too deeply nested data, which reduces complexity and improves performance.
Given this query:
{ library { shelves { books { author { name } } } } }The server returns an error about query complexity being too high. What is the most likely reason?
Consider how nested fields multiply the amount of data fetched.
Each nested level increases the amount of data fetched. Deep nesting like shelves → books → author causes high complexity, triggering server limits.