Schema linting helps developers by:
- A. Checking the schema for errors and style issues before deployment
- B. Automatically generating queries from the schema
- C. Running queries faster by optimizing the schema
- D. Encrypting the schema for security
Think about what 'linting' usually means in programming.
Schema linting is the process of checking the GraphQL schema for mistakes or style problems before it is used. It helps catch errors early.
Given this schema snippet:
type User { id: ID! name: String! age: Int }The linting tool requires all fields to have descriptions. What is the linting error?
Check which fields lack descriptions.
The linting tool expects every field to have a description. Since 'id' has no description, it reports that error first.
Identify the schema snippet that will fail linting due to syntax issues:
Look for missing braces or keywords.
Option A is missing a closing brace for the Query type, causing a syntax error during linting.
Choose the best explanation for how schema linting can indirectly improve API performance:
Think about how errors or bad designs affect query speed.
Linting can find schema design issues like deeply nested fields or missing indexes that slow down queries, helping developers fix them.
Given these schema definitions:
type Product { id: ID! name: String! } type Product { sku: String! price: Float! }What is the cause of the linting error?
Check if type names are unique in the schema.
GraphQL schemas cannot have two types with the same name. Defining 'Product' twice causes a duplicate type error during linting.