Imagine you have a GraphQL API that serves data to many users. Why is it important to test the schema behavior regularly?
Think about how clients rely on the schema to know what data they can request.
Testing the schema ensures that any changes do not break the expected data structure. This keeps clients working smoothly and prevents unexpected errors.
Given the schema defines a User type with fields id and name, what will this query return?
{ user(id: "1") { id name } }type User {
id: ID!
name: String!
}
type Query {
user(id: ID!): User
}The schema requires id and name to be non-null.
The query requests a user with id "1". The schema requires id and name to be non-null, so the response must include both fields with valid values.
Which option correctly fixes the syntax error in this schema?
type Query {
user(id: ID!): User
posts: [Post
}Look for missing brackets or incorrect list syntax.
The list type in GraphQL requires square brackets to be closed properly. Option C correctly closes the list with ].
Which option describes how testing can help optimize schema performance?
Think about how testing can reveal bottlenecks.
Testing helps find slow parts of the schema, like resolvers, so developers can optimize them and improve overall performance.
Given the schema below, what error will this query cause?
type Query {
user(id: ID!): User
}
type User {
id: ID!
name: String!
}
Query:
{
user(id: "1") {
id
age
}
}Check if the requested fields exist in the schema.
The schema does not define an 'age' field on 'User'. Querying a non-existent field causes an error.