Which of the following annotations is specifically designed for testing JPA components?
- @Autowired
- @DataJpaTest
- @RestController
- @SpringBootApplication
The @DataJpaTest annotation is specifically designed for testing JPA (Java Persistence API) components in a Spring Boot application. It configures a slice of the application context that contains only JPA-related beans, making it suitable for JPA testing.
You need to develop a Spring Boot controller that can handle requests asynchronously, allowing for better scalability. How would you implement this feature in your controller?
- Adding @Transactional annotations to controller methods.
- Configuring a separate thread pool for the controller.
- Using the @Async annotation for controller methods.
- Utilizing a different web framework for asynchronous support.
To make a Spring Boot controller handle requests asynchronously for better scalability, you can use the @Async annotation on controller methods. This enables asynchronous processing of requests without blocking the main thread. Configuring a separate thread pool may be necessary for fine-tuning, but it's not the primary way to enable asynchronous handling in a controller. Using a different web framework is not required, as Spring Boot has built-in support for asynchronous operations. @Transactional is used for database transactions and is unrelated to request handling.
Which of the following is the most efficient way to manage transactions in a Spring Boot application utilizing Spring Data JPA?
- Using programmatic transaction management with the PlatformTransactionManager interface.
- Using database-specific transaction management provided by the database system.
- Using declarative transaction management with the @Transactional annotation.
- Manually committing and rolling back transactions using SQL commands.
The most efficient way to manage transactions in a Spring Boot application utilizing Spring Data JPA is by using declarative transaction management with the @Transactional annotation. It simplifies transaction handling and provides better readability and maintainability. The other options may work but are not considered as efficient and convenient as declarative transaction management.
Which of the following is the most efficient way to manage transactions in a Spring Boot application utilizing Spring Data JPA?
- Using the @Transactional annotation on the service layer.
- Embedding SQL transactions within repository methods.
- Using Java synchronized blocks to ensure transaction consistency.
- Managing transactions manually without any annotations.
The most efficient way to manage transactions in a Spring Boot application utilizing Spring Data JPA is by using the @Transactional annotation on the service layer. This annotation simplifies transaction management and ensures that all methods within the annotated service class are executed within a single transaction. Embedding SQL transactions within repository methods can lead to issues with transaction boundaries. The other options are not best practices for managing transactions in a Spring Boot application.
In Spring Boot, how can you isolate the Data Layer while performing unit tests on Service Layer components?
- Use the @DataJpaTest annotation.
- Use the @ExtendWith(SpringExtension.class) annotation.
- Use the @SpringBootTest annotation with a custom configuration file.
- Use the @WebMvcTest annotation.
To isolate the Data Layer while performing unit tests on Service Layer components in Spring Boot, you should use the @DataJpaTest annotation. This annotation is designed for testing JPA repositories and automatically configures a test slice of the application context limited to the data layer.
To enable method-level security annotations like @Secured and @PreAuthorize, the _____ attribute needs to be enabled in the security configuration.
- enable-annotations
- method-level-security
- method-security
- secured-annotations
To enable method-level security annotations like @Secured and @PreAuthorize, you need to configure the method-security attribute in the Spring Security configuration. This attribute is set to true to enable these annotations.
To remove a single cache entry in Spring Boot, the _____ annotation is used.
- @CacheEvictEntry
- @CacheInvalidate
- @CacheInvalidateEntry
- @CacheRemoveEntry
To remove a single cache entry in Spring Boot, the @CacheEvictEntry annotation is used. This annotation is typically applied to methods that need to evict or remove specific cache entries. By specifying the cache name and the key(s) in this annotation, you can target and remove specific entries from the cache. It's a useful annotation for cache management.
Which component in Spring Cloud is primarily used for service discovery?
- Eureka
- Feign
- Hystrix
- Ribbon
Eureka is the Spring Cloud component primarily used for service discovery. It allows microservices to find and communicate with each other dynamically.
How does the @Qualifier annotation assist in Dependency Injection in Spring?
- It defines a custom scope for a bean.
- It marks a bean as a prototype, ensuring a new instance is created on each request.
- It resolves circular dependencies in the Spring context.
- It specifies the primary bean to be injected when multiple candidates exist.
The @Qualifier annotation in Spring is used to specify the exact bean to be injected when there are multiple candidates of the same type. This helps resolve ambiguity in cases where there are multiple beans of the same type that could be injected. By using @Qualifier with the bean's name, you can explicitly indicate which bean should be injected, ensuring that the correct one is selected. It's particularly useful when you have multiple beans of the same type and need to specify which one should be used for injection.
You are working on a Spring Boot project using Spring Data JPA, and you are tasked with implementing a feature that requires a custom query and also modifies the state of the underlying database. How would you implement this while ensuring that the changes are committed to the database?
- Using a read-only transaction.
- Using a read-write transaction with the @Transactional annotation on the method that modifies the data.
- Using an in-memory database for testing purposes to avoid committing changes to the actual database during development.
- Using two separate transactions for reading and writing, ensuring that the write transaction commits the changes.
In this scenario, you should use two separate transactions for reading and writing. The read transaction fetches the data, and the write transaction modifies the data and commits the changes to the database. This approach ensures that changes are committed while maintaining the integrity of the database. Using read-only transactions or in-memory databases for testing would not fulfill the requirement.