AI-Assisted GraphQL Schema Evolution

End-of-lesson check

15 questions · take it digitally for instant feedback at tendril.neural-forge.io/learn/quiz/end-ai-coding-AI-graphql-schema-evolution-creators

1. What data source does an AI tool use to map GraphQL fields to the queries that actually consume them in a production system?

   1. Client-side source code repositories
   2. Runtime error logs
   3. Schema definition files
   4. Persisted query logs

2. An AI suggests removing a field that is used by 15% of active queries. What decision must a human make before proceeding?

   1. The acceptable migration window for affected consumers
   2. How to write the deprecation comment
   3. Which programming language to use for codemods
   4. Whether to tell developers about the change

3. Which GraphQL directive would an AI most likely help draft to mark a field for future removal?

   1. @deprecated
   2. @specifiedBy
   3. @skip
   4. @include

4. A mobile app released 18 months ago still has users, but its API calls use fields scheduled for removal. Why might the API team delay removal beyond 90 days?

   1. The AI cannot generate codemods for mobile apps
   2. GraphQL doesn't work with mobile apps
   3. The minimum supported app version may still require those fields
   4. Mobile apps are harder to update than web apps

5. What type of code artifact would an AI most likely generate to help consumers migrate away from a deprecated field?

   1. Database migration scripts
   2. Load balancer configurations
   3. Codemod stubs
   4. Authentication tokens

6. When an AI proposes a deprecation order for multiple fields, what critical variable can it NOT accurately assess?

   1. How many queries use each field
   2. Which specific client versions are still in active use
   3. The data types returned by deprecated fields
   4. The syntax of each affected query

7. What information should ideally be included in a @deprecated annotation that an AI drafts?

   1. The names of all developers who used the field
   2. The date the field was first created
   3. Migration hints suggesting alternative fields or approaches
   4. The server IP addresses that handle the field

8. A GraphQL API has 30 days of persisted query logs. What can an AI reliably determine from this data?

   1. The complete history of the codebase
   2. Which fields have never been queried
   3. Future business requirements
   4. The exact number of users for each client version

9. Why is human approval required before executing a breaking schema change that AI has planned?

   1. AI cannot write code
   2. GraphQL does not allow AI to make changes
   3. The blast radius of breaking changes requires business judgment
   4. Humans are required to sign every commit

10. What is a 'consumer' in the context of GraphQL schema evolution?

    1. A database connection
    2. A client application that queries the API
    3. A documentation generator
    4. A GraphQL server process

11. An AI recommends removing a field used by only 0.5% of queries. However, the team waits 90 days before removal. What is the most likely reason for the delay?

    1. The AI made a calculation error
    2. GraphQL requires a minimum 90-day deprecation period
    3. The queries are from automated testing
    4. The 0.5% represents paid enterprise customers with long release cycles

12. What does 'schema evolution' mean in the GraphQL context?

    1. Changing the database schema underneath the API
    2. The server automatically rewrites client code
    3. The process of adding, deprecating, or removing types and fields over time
    4. Converting a REST API to GraphQL

13. In a 90-day deprecation timeline, when would deprecated fields typically be removed?

    1. Immediately after the deprecation notice
    2. Never, deprecations are permanent
    3. After the migration window closes and consumers have had time to adapt
    4. Only when a major version number changes

14. What limitation does AI have when analyzing mobile client behavior for schema changes?

    1. AI cannot connect to mobile networks
    2. AI cannot determine which app versions are still installed in the wild
    3. AI cannot generate deprecation comments
    4. AI cannot parse JSON responses

15. What is a 'breaking change' in GraphQL schema design?

    1. A change that causes the server to crash
    2. A database schema modification
    3. A modification that breaks existing client queries
    4. A change to the server's authentication system