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Spring Bootframework~10 mins

Why DTOs matter in Spring Boot - Test Your Understanding

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Test this pattern10 questions across easy, medium, and hard to know if this pattern is strong
Practice - 5 Tasks
Answer the questions below
1fill in blank
easy

Complete the code to declare a simple DTO class with a private field and a getter.

Spring Boot
public class UserDTO {
    private String [1];

    public String getName() {
        return name;
    }
}
Drag options to blanks, or click blank then click option'
Aname
Bage
Cemail
Did
Attempts:
3 left
💡 Hint
Common Mistakes
Using a field name that does not match the getter method.
Forgetting to make the field private.
2fill in blank
medium

Complete the code to create a constructor for the DTO that sets the name field.

Spring Boot
public class UserDTO {
    private String name;

    public UserDTO([1]) {
        this.name = name;
    }
}
Drag options to blanks, or click blank then click option'
AString name
Bint age
Cboolean active
Ddouble salary
Attempts:
3 left
💡 Hint
Common Mistakes
Using a parameter type that does not match the field.
Using a different parameter name than the field.
3fill in blank
hard

Fix the error in the DTO setter method to correctly set the field.

Spring Boot
public void setName(String name) {
    [1] = name;
}
Drag options to blanks, or click blank then click option'
AsetName
Bname
CUserDTO.name
Dthis.name
Attempts:
3 left
💡 Hint
Common Mistakes
Assigning the parameter to itself instead of the field.
Using the class name instead of this.
4fill in blank
hard

Fill both blanks to create a DTO from an entity object.

Spring Boot
public UserDTO([1] user) {
    this.name = user.[2]();
}
Drag options to blanks, or click blank then click option'
AUser
BgetName
CsetName
DUserDTO
Attempts:
3 left
💡 Hint
Common Mistakes
Using the DTO class as parameter type instead of the entity.
Calling a setter method instead of a getter on the entity.
5fill in blank
hard

Fill all three blanks to convert a list of entities to a list of DTOs using streams.

Spring Boot
List<UserDTO> dtos = users.stream()
    .map(user -> new UserDTO(user.[1]()))
    .[2](Collectors.[3]());
Drag options to blanks, or click blank then click option'
AgetName
Bcollect
CtoList
Dstream
Attempts:
3 left
💡 Hint
Common Mistakes
Using a setter method instead of a getter in the map.
Forgetting to collect the stream into a list.
Using incorrect collector methods.

Practice

(1/5)
1. Why do we use DTOs (Data Transfer Objects) in a Spring Boot application?
easy
A. To make the application slower by adding extra layers
B. To increase the size of data sent over the network
C. To replace the database entities completely
D. To carry only the data we want to share and hide internal details

Solution

  1. Step 1: Understand the purpose of DTOs

    DTOs are designed to carry only the necessary data between processes or layers, avoiding exposure of internal details.
  2. Step 2: Analyze the options

    To carry only the data we want to share and hide internal details correctly states the purpose of DTOs. The other options describe incorrect or harmful uses.
  3. Final Answer:

    To carry only the data we want to share and hide internal details -> Option D
  4. Quick Check:

    DTOs protect and simplify data transfer = D [OK]
Hint: DTOs share only needed data, hiding internals [OK]
Common Mistakes:
  • Thinking DTOs replace entities fully
  • Assuming DTOs increase data size
  • Believing DTOs slow down the app
2. Which of the following is the correct way to define a simple DTO class in Spring Boot?
easy
A. public class UserDTO { private String name; private int age; public String getName() { return name; } public void setName(String name) { this.name = name; } public int getAge() { return age; } public void setAge(int age) { this.age = age; } }
B. @Entity public class UserDTO { private String name; private int age; }
C. public interface UserDTO { String getName(); int getAge(); }
D. @Repository public class UserDTO { private String name; private int age; }

Solution

  1. Step 1: Identify correct DTO structure

    A DTO is a simple class with private fields and public getters/setters, without annotations like @Entity or @Repository.
  2. Step 2: Evaluate each option

    public class UserDTO { private String name; private int age; public String getName() { return name; } public void setName(String name) { this.name = name; } public int getAge() { return age; } public void setAge(int age) { this.age = age; } } correctly defines a DTO class with fields and accessors. @Entity public class UserDTO { private String name; private int age; } wrongly uses @Entity, which is for database entities. public interface UserDTO { String getName(); int getAge(); } defines an interface, not a DTO class. @Repository public class UserDTO { private String name; private int age; } wrongly uses @Repository, which is for data access layers.
  3. Final Answer:

    public class UserDTO { private String name; private int age; public String getName() { return name; } public void setName(String name) { this.name = name; } public int getAge() { return age; } public void setAge(int age) { this.age = age; } } -> Option A
  4. Quick Check:

    DTO = simple class with getters/setters = B [OK]
Hint: DTOs are plain classes with getters/setters, no @Entity [OK]
Common Mistakes:
  • Adding @Entity annotation to DTO
  • Using interfaces instead of classes for DTO
  • Marking DTO as @Repository
3. Given this Spring Boot controller method, what will be the output JSON when calling /user?
@GetMapping("/user")
public UserDTO getUser() {
    UserDTO dto = new UserDTO();
    dto.setName("Alice");
    dto.setAge(30);
    return dto;
}
medium
A. {"name":"Alice"}
B. {"UserDTO":{"name":"Alice","age":30}}
C. {"name":"Alice","age":30}
D. Error: Cannot serialize UserDTO

Solution

  1. Step 1: Understand default JSON serialization in Spring Boot

    Spring Boot uses Jackson to convert returned objects to JSON, serializing all public getters by default.
  2. Step 2: Analyze the returned UserDTO object

    UserDTO has name and age fields with getters, so JSON will include both as simple key-value pairs.
  3. Final Answer:

    {"name":"Alice","age":30} -> Option C
  4. Quick Check:

    DTO fields serialize as JSON keys = A [OK]
Hint: Returned DTO converts to JSON with all getters [OK]
Common Mistakes:
  • Expecting nested JSON with class name
  • Assuming partial fields serialize
  • Thinking serialization causes error
4. What is wrong with this DTO class that causes a runtime error when Spring Boot tries to deserialize it?
public class ProductDTO {
    private String name;
    private int price;
    public ProductDTO(String name, int price) {
        this.name = name;
        this.price = price;
    }
}
medium
A. Fields should be public, not private
B. Missing default no-argument constructor
C. Constructor parameters should be annotated with @Autowired
D. Class should be annotated with @Entity

Solution

  1. Step 1: Identify deserialization requirements

    Jackson requires a default no-argument constructor to create an instance before setting fields via setters or reflection.
  2. Step 2: Check the DTO class

    This class only has a parameterized constructor and no default constructor, causing Jackson to fail during deserialization.
  3. Final Answer:

    Missing default no-argument constructor -> Option B
  4. Quick Check:

    Jackson needs no-arg constructor = A [OK]
Hint: DTOs need no-arg constructor for JSON serialization [OK]
Common Mistakes:
  • Thinking fields must be public
  • Adding @Autowired to constructor parameters
  • Confusing DTO with entity needing @Entity
5. You have an entity class User with many fields, but you want to expose only id and email in your API response. How should you use a DTO to achieve this cleanly?
hard
A. Create a UserDTO with only id and email fields, map User to UserDTO before returning
B. Return the User entity directly and ignore unwanted fields in the frontend
C. Add @JsonIgnore to all unwanted fields in the User entity
D. Use the User entity but rename unwanted fields to empty strings

Solution

  1. Step 1: Understand data exposure risks

    Returning the full User entity exposes all fields, risking sensitive data leaks.
  2. Step 2: Use DTO to control data

    Creating a UserDTO with only id and email fields and mapping User to UserDTO ensures only desired data is sent.
  3. Step 3: Evaluate other options

    Return the User entity directly and ignore unwanted fields in the frontend risks exposing all data. Add @JsonIgnore to all unwanted fields in the User entity mixes entity with serialization concerns and can be error-prone. Use the User entity but rename unwanted fields to empty strings is a bad practice and confusing.
  4. Final Answer:

    Create a UserDTO with only id and email fields, map User to UserDTO before returning -> Option A
  5. Quick Check:

    DTOs control exposed data = C [OK]
Hint: Use DTO to expose only needed fields safely [OK]
Common Mistakes:
  • Returning full entity directly
  • Using @JsonIgnore on entity fields
  • Modifying entity fields to hide data