Given a GraphQL schema with types User and Post, and a query that requests users and their posts, what will be the result of this query when automatic query optimization merges nested requests?
query {
users {
id
name
posts {
id
title
}
}
}Think about how automatic query optimization combines nested fields into a single efficient request.
The automatic query optimization merges nested requests so the response includes users with their posts nested inside, matching option A.
Choose the statement that correctly explains what automatic query optimization does in GraphQL servers.
Consider how optimization reduces repeated or redundant data fetching.
Automatic query optimization batches nested requests to minimize database calls, improving efficiency.
Identify the query that will cause a syntax error because of improper nesting of fields.
Look for missing braces or incorrect field nesting.
Option D lacks braces around posts fields, causing a syntax error.
Given a query requesting user data and their posts multiple times, which rewritten query uses automatic optimization to avoid redundant fetching?
Original query:
query {
user(id: "1") {
id
name
posts {
id
title
}
posts {
id
title
}
}
}Think about how to avoid repeating the same nested field twice.
Option B merges duplicate posts fields into one, reducing redundant data fetching.
Consider this query that requests a list of users and their posts with comments. Why might it still cause performance problems?
query {
users {
id
name
posts {
id
title
comments {
id
content
}
}
}
}Think about how nested data can cause many database calls even with optimization.
Deeply nested queries can cause many database calls (N+1 problem) if resolvers are not optimized, causing performance issues.