Why testing validates schema behavior in GraphQL - Test Your Understanding

Practice - 5 Tasks

1fill in blank

easy

Complete the code to define a GraphQL query that fetches a user's name.

GraphQL

query GetUserName { user(id: 1) { [1] } }

Drag options to blanks, or click blank then click option'

Aname

Bage

Cemail

Daddress

Attempts:

3 left

💡 Hint

Common Mistakes

Choosing a field that does not represent the user's name.

Using a field that does not exist in the schema.

The field name correctly fetches the user's name as requested.

2fill in blank

medium

Complete the code to add a variable for user ID in the query.

GraphQL

query GetUser($id: ID!) { user(id: [1]) { name } }

Drag options to blanks, or click blank then click option'

A$id

B1

CuserId

DID

Attempts:

3 left

💡 Hint

Common Mistakes

Using a literal value instead of the variable.

Using a variable name without the dollar sign.

The variable $id is used to pass the user ID dynamically to the query.

3fill in blank

hard

Fix the error in the mutation to update a user's email.

GraphQL

mutation UpdateEmail($id: ID!, $email: String!) { updateUser(id: [1], email: $email) { id email } }

Drag options to blanks, or click blank then click option'

Aid

B$id

CuserId

Demail

Attempts:

3 left

💡 Hint

Common Mistakes

Using the field name instead of the variable.

Omitting the dollar sign before the variable.

The variable $id must be used to pass the user ID in the mutation arguments.

4fill in blank

hard

Fill both blanks to define a fragment for user details and use it in a query.

GraphQL

fragment UserDetails on User { [1] [2] } query GetUser { user(id: 1) { ...UserDetails } }

Drag options to blanks, or click blank then click option'

Aname

Bemail

Cage

Daddress

Attempts:

3 left

💡 Hint

Common Mistakes

Including fields not present in the User type.

Using fields unrelated to user details.

The fragment includes name and email fields to fetch user details.

5fill in blank

hard

Fill all three blanks to write a query with variables and aliasing.

GraphQL

query GetUserInfo($userId: ID!) { userInfo: user(id: [1]) { [2] email: [3] } }

Drag options to blanks, or click blank then click option'

A$userId

Bname

CemailAddress

Did

Attempts:

3 left

💡 Hint

Common Mistakes

Using literal values instead of variables.

Confusing alias and field names.

Omitting the dollar sign for variables.

The query uses variable $userId for the ID, fetches name, and aliases emailAddress as email.

Practice

1. Why is testing important for validating a GraphQL schema?

easy

A. It confirms the schema matches the expected data structure.

B. It speeds up the database queries automatically.

C. It changes the schema to fit new data types without errors.

D. It removes unused fields from the schema without manual work.

Solution

1. Step 1: Understand the purpose of schema testing

   Testing checks if the schema correctly represents the data structure expected by the application.

2. Step 2: Identify the correct role of testing

   Testing does not automatically speed queries, change schema, or remove fields; it validates correctness.

3. Final Answer:

   It confirms the schema matches the expected data structure. -> Option A

4. Quick Check:

   Schema validation = Confirm structure [OK]

Hint: Testing checks if schema matches expected data structure [OK]

Common Mistakes:

• Thinking testing changes schema automatically
• Believing testing speeds up queries
• Assuming testing removes unused fields

2. Which of the following is the correct way to define a required field in a GraphQL schema?

easy

A. type User { name: String }

B. type User { name: String! }

C. type User { name: !String }

D. type User { name: Required String }

Solution

1. Step 1: Recall GraphQL syntax for required fields

   In GraphQL, adding an exclamation mark ! after the type marks it as required (non-nullable).

2. Step 2: Identify the correct syntax

   String! is correct; !String and Required String are invalid syntax.

3. Final Answer:

   type User { name: String! } -> Option B

4. Quick Check:

   Required field = type followed by ! [OK]

Hint: Use ! after type to mark required fields [OK]

Common Mistakes:

• Placing ! before the type name
• Using 'Required' keyword which is invalid
• Omitting ! for required fields

3. Given this GraphQL schema snippet:

type Query { user(id: ID!): User }

And this test query:

{ user(id: "123") { name } }

What will happen if the user field resolver returns null?

medium

A. The query returns { "user": {} } with empty fields.

B. The query returns an error because user is non-nullable.

C. The query returns { "user": null } without errors.

D. The query crashes the server due to null value.

Solution

1. Step 1: Analyze the schema for nullability

   The user field returns type User which is nullable (no !), so it can be null.

2. Step 2: Understand resolver behavior with null

   If resolver returns null, the query returns { "user": null } without error because null is allowed.

3. Final Answer:

   The query returns { "user": null } without errors. -> Option C

4. Quick Check:

   Nullable field allows null result [OK]

Hint: Nullable fields can return null without errors [OK]

Common Mistakes:

• Confusing nullable and non-nullable fields
• Expecting errors on null return for nullable fields
• Assuming empty object is returned instead of null

4. You wrote this GraphQL schema:

type Mutation { addUser(name: String!): User! }

But your test fails with error: Cannot return null for non-nullable field Mutation.addUser. What is the likely cause?

medium

A. The resolver returned null instead of a User object.

B. The name argument was missing in the mutation call.

C. The schema syntax is invalid because User! is not allowed.

D. The mutation should not have any arguments.

Solution

1. Step 1: Understand the schema non-null constraints

   The mutation returns User! which means it must never return null.

2. Step 2: Interpret the error message

   Error says null was returned for a non-nullable field, so the resolver likely returned null instead of a User object.

3. Final Answer:

   The resolver returned null instead of a User object. -> Option A

4. Quick Check:

   Non-null return must not be null [OK]

Hint: Non-null return types cannot return null [OK]

Common Mistakes:

• Assuming missing argument causes this error
• Thinking schema syntax is invalid for User!
• Believing mutations cannot have arguments

5. You want to ensure your GraphQL schema enforces that every Post has a non-empty title and an optional content. Which testing approach best validates this behavior?

hard

A. Write tests that accept any title value and ignore content field.

B. Write tests that only query Post fields without mutations.

C. Write tests that check if content is always returned as an empty string.

D. Write tests that send mutations with empty title and expect errors, and mutations with missing content to succeed.

Solution

1. Step 1: Identify validation goals

   We want to ensure title is non-empty (required) and content is optional.

2. Step 2: Choose tests that check required and optional fields

   Tests should try sending empty title to confirm errors, and omit content to confirm success.

3. Final Answer:

   Write tests that send mutations with empty title and expect errors, and mutations with missing content to succeed. -> Option D

4. Quick Check:

   Test required fields with errors, optional fields with success [OK]

Hint: Test required fields cause errors when empty, optional fields can be missing [OK]

Common Mistakes:

• Testing only queries without mutations
• Ignoring validation of required fields
• Expecting optional fields to always have values