Top 50 Advanced Spring Boot Interview Questions & Answers

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Are you an experienced Java developer looking to ace your next Spring Boot interview? You’ve come to the right place! This comprehensive guide is packed with the Top 50 Advanced Spring Boot Interview Questions & Answers for Experienced Professionals. We’ve curated a list of in-depth questions that go beyond the basics, focusing on the real-world challenges and architectural decisions you’ll face in a senior role.

This blog post is designed to be your ultimate resource for interview preparation. We’ve made it easy to read and understand, with questions and detailed answers categorized for a structured learning experience. So, grab a cup of coffee ☕, and let’s dive into the advanced world of Spring Boot!

Core Spring Boot Concepts

This section covers the fundamental yet advanced concepts of Spring Boot that every experienced professional should master.

1. What is the difference between @RestController and @Controller in Spring Boot?

  • @Controller is a specialization of the @Component annotation and is used to mark a class as a web request handler. It’s typically used in conjunction with a view technology like Thymeleaf, where the return value of the method is a view name.
  • @RestController is a convenience annotation that combines @Controller and @ResponseBody. It’s used for creating RESTful web services where the return value of the method is directly written to the HTTP response body as JSON or XML. It simplifies the creation of APIs.

2. Explain the Inversion of Control (IoC) container.

  • The IoC container is the core of the Spring Framework. It’s responsible for managing the lifecycle of objects (called beans) and their dependencies. Instead of an object creating its own dependencies (e.g., new MyService()), the object declares what it needs, and the Spring IoC container “inverts control” by providing those dependencies at runtime. This process, also known as Dependency Injection (DI), promotes loose coupling and makes the application easier to test and maintain.

3. What is the difference between @Component, @Service, @Repository, and @Controller annotations?

  • All of these are stereotype annotations that mark a class for auto-detection during component scanning. While they are technically interchangeable, using them according to their intended layer clarifies the application’s architecture.
    • @Component: A generic stereotype for any Spring-managed component.
    • @Service: Annotates classes at the service layer, where business logic resides.
    • @Repository: Used for classes that access the database (Data Access Objects). It enables exception translation, converting platform-specific persistence exceptions into Spring’s unified DataAccessException hierarchy.
    • @Controller: Marks a class as a Spring MVC controller in the presentation layer, responsible for handling web requests.

4. What are Spring Boot Profiles and why are they important?

  • Profiles allow you to register different beans and configurations for different environments (e.g., dev, staging, prod). You can use the @Profile annotation on configuration classes or beans to specify which profile they belong to. This is crucial for managing environment-specific properties like database URLs, API keys, and feature flags without changing your application’s code. You activate a profile via the spring.profiles.active property.

5. How do you handle circular dependencies in Spring Boot?

  • A circular dependency occurs when two or more beans depend on each other (e.g., Bean A depends on Bean B, and Bean B depends on Bean A). While Spring can often resolve constructor-based circular dependencies, it’s considered a sign of poor design. You can break them by:
    • Refactoring: The best solution. Redesign the components to remove the circular dependency, often by introducing a third component or moving the shared logic.
    • @Lazy annotation: Lazy-initialize one of the beans. This postpones the bean’s creation until it’s first needed, breaking the cycle during startup.
    • Setter/Field Injection: Using setter or field injection instead of constructor injection can break the cycle, but this is generally discouraged as it can lead to beans being in an incomplete state.

Spring Boot Auto-Configuration and Starters

This section explores the magic behind Spring Boot’s “just run” experience.

6. How does Spring Boot’s auto-configuration work?

  • Spring Boot auto-configuration attempts to automatically configure your Spring application based on the JAR dependencies you have added. It works by scanning the classpath for the presence of certain classes. For example, if it finds the spring-webmvc.jar on the classpath, it assumes you want to build a web application and automatically configures things like a DispatcherServlet and an embedded Tomcat server. This process is triggered by the @EnableAutoConfiguration annotation, which is included in @SpringBootApplication.

7. What are Spring Boot Starters and what is their significance?

  • Starters are a set of convenient dependency descriptors that you can include in your application. They provide a one-stop shop for all the Spring and related technologies you need, without you having to hunt for and configure individual dependencies. They simplify dependency management. For example, adding spring-boot-starter-data-jpa brings in Spring Data, JPA, Hibernate, and the necessary JDBC driver dependencies.

8. How can you disable a specific auto-configuration class?

  • You can use the exclude attribute of the @EnableAutoConfiguration or @SpringBootApplication annotation. This is useful when you want to provide your own custom configuration for something that Spring Boot would otherwise auto-configure.
    • Example: @SpringBootApplication(exclude = {DataSourceAutoConfiguration.class})

9. What is the purpose of the spring.factories file?

  • The spring.factories file, located in META-INF/, is a mechanism used by Spring Boot (and Spring Framework) for discovering configurations. Spring Boot starters contain spring.factories files that list auto-configuration classes under the org.springframework.boot.autoconfigure.EnableAutoConfiguration key. Spring Boot reads all these files from all JARs on the classpath to find and apply the relevant auto-configurations.

10. Explain the difference between @ComponentScan and auto-configuration.

  • @ComponentScan tells Spring where to find your own components (classes you’ve written and annotated with @Component, @Service, etc.). By default, it scans the package of the main application class and all its sub-packages.
  • Auto-configuration, on the other hand, is about configuring infrastructure beans based on the libraries on the classpath. It doesn’t scan your code; it applies pre-defined configuration classes from Spring Boot’s libraries.

Spring Boot with Data

This section covers questions related to data persistence and management.

11. What is Spring Data JPA?

  • Spring Data JPA is part of the larger Spring Data family. It makes it incredibly easy to work with JPA-based data access layers. It provides a repository programming model that significantly reduces the amount of boilerplate code required. You simply define a repository interface, and Spring Data JPA provides the implementation for you at runtime.

12. What is the difference between CrudRepository and JpaRepository?

  • Both are interfaces in Spring Data JPA that provide a base set of methods for data access.
    • CrudRepository: Provides generic CRUD (Create, Read, Update, Delete) functionality. It’s a base interface in Spring Data Commons.
    • JpaRepository: Extends PagingAndSortingRepository, which in turn extends CrudRepository. It provides additional JPA-related methods such as flushing the persistence context (flush()), deleting records in a batch (deleteInBatch()), and methods that leverage JPA features. It’s the recommended choice for JPA-based repositories.

13. Explain the concept of transaction management in Spring Boot.

  • Spring Boot provides declarative transaction management using the @Transactional annotation. When a method (or all methods in a class) is annotated with @Transactional, Spring creates a proxy that wraps the method call in a database transaction. If the method completes successfully, the transaction is committed. If an un-checked exception is thrown, the transaction is automatically rolled back. This simplifies transaction handling immensely.

14. How do you configure a custom DataSource in Spring Boot?

  • While Spring Boot can auto-configure a DataSource from properties in application.properties, you can define your own by creating a @Bean method that returns a DataSource object in a @Configuration class. Spring Boot will detect this custom bean and back off from its own auto-configuration, giving you full control over connection pooling properties, etc.

15. What are the advantages of using the YAML file over the properties file?

  • YAML (application.yml) is often preferred over the traditional application.properties file because:
    • Readability: It has a cleaner, hierarchical structure that is more human-readable for complex configurations.
    • Less Repetitive: It avoids the repetition of prefixes (e.g., server.port, server.address).
    • Data Types: It has better support for lists and complex nested objects.

Spring Boot with Microservices and Cloud

This section focuses on building and deploying microservices with Spring Boot.

16. What are microservices and how does Spring Boot help in their development?

  • Microservices is an architectural style where an application is composed of small, independent, and loosely coupled services. Spring Boot is ideal for building microservices because it allows you to create standalone, production-grade applications with an embedded server (like Tomcat or Netty) that can be started with a simple java -jar command. This, combined with starters for cloud patterns, makes it fast and easy to develop and deploy individual services.

17. What is Spring Cloud?

  • Spring Cloud provides tools for developers to quickly build some of the common patterns in distributed systems. It’s a framework built on top of Spring Boot for building cloud-native applications. It provides solutions for:
    • Configuration Management (Spring Cloud Config)
    • Service Discovery (Spring Cloud Netflix Eureka, Consul)
    • Circuit Breakers (Resilience4j)
    • Intelligent Routing (Spring Cloud Gateway)

18. Explain the role of an API Gateway in a microservices architecture.

  • An API Gateway is a single entry point for all clients. It acts as a reverse proxy, routing requests to the appropriate downstream microservice. Its key responsibilities include:
    • Routing: Directing client requests to the correct service.
    • Cross-Cutting Concerns: Handling tasks like authentication, SSL termination, and rate limiting in one place.
    • Request Aggregation: Combining results from multiple services into a single response.
    • Protocol Translation: Allowing services to use different communication protocols internally.
    • Spring Cloud Gateway is a popular choice for implementing this pattern.

19. What is a “dumb pipe” in the context of microservices?

  • The “dumb pipe” and “smart endpoint” principle suggests that the communication channels (the “pipes”) between microservices should be simple and lightweight (e.g., plain HTTP or a simple message broker). All the logic, routing, and transformation intelligence should reside in the microservices themselves (the “smart endpoints”). This avoids having a complex, monolithic Enterprise Service Bus (ESB) that becomes a bottleneck and a single point of failure.

20. How do you handle distributed transactions between microservices?

  • Traditional distributed transactions (like Two-Phase Commit, 2PC) are generally avoided in microservices due to the tight coupling they introduce. The preferred approach is to use a pattern that embraces eventual consistency:
    • Saga Pattern: A saga is a sequence of local transactions. Each service performs its own transaction and then publishes an event. Other services listen for these events to perform their part of the business process. If a step fails, a series of compensating transactions are executed to undo the preceding work.

Spring Boot Actuator and Monitoring

This section delves into monitoring and managing your Spring Boot applications.

21. What is Spring Boot Actuator and what are its advantages?

  • Spring Boot Actuator provides production-ready features to help you monitor and manage your application. It exposes several endpoints over HTTP or JMX. Its main advantage is providing out-of-the-box insights into a running application, which is crucial for operations, debugging, and health monitoring in a live environment.

22. How do you enable the Actuator in a Spring Boot application?

  • You simply need to add the spring-boot-starter-actuator dependency to your pom.xml or build.gradle file. By default, only a few endpoints like /health are exposed over HTTP for security reasons.

23. What are some of the most useful Actuator endpoints?

  • /health: Shows the application’s health status (e.g., database connection, disk space).
  • /info: Displays arbitrary application info.
  • /metrics: Provides detailed metrics like JVM memory usage, CPU usage, and HTTP request stats.
  • /env: Displays the current environment properties.
  • /loggers: Allows viewing and modifying the application’s logging levels at runtime.
  • /threaddump: Generates a thread dump.

24. How can you secure the Actuator endpoints?

  • If Spring Security is on the classpath, the Actuator endpoints are secured by default. You can customize the security by creating a SecurityFilterChain bean. Best practice is to expose them on a separate management port (management.server.port) and secure that port with firewall rules and Spring Security.

25. How do you create a custom Actuator endpoint?

  • You create a class annotated with @Component and @Endpoint(id = "..."). Then, you define methods within that class and annotate them with @ReadOperation, @WriteOperation, or @DeleteOperation to map them to GET, POST, and DELETE HTTP methods, respectively.

Spring Boot with Security

This section covers the critical aspect of securing your applications.

26. What is Spring Security?

  • Spring Security is a powerful and highly customizable authentication and access-control framework. It is the de-facto standard for securing Spring-based applications. It provides comprehensive protection against common attacks like CSRF, session fixation, and more.

27. How does Spring Boot simplify Spring Security configuration?

  • With the spring-boot-starter-security starter, Spring Boot provides a sensible default security configuration. It automatically creates a security filter chain that secures all endpoints, enables HTTP Basic authentication, and sets up a default user. This allows you to get a secure application running quickly, which you can then customize by providing your own SecurityFilterChain bean.

28. Explain the difference between authentication and authorization.

  • These are two distinct steps in security:
    • Authentication: The process of verifying identity. It answers the question, “Who are you?” (e.g., validating a username and password).
    • Authorization: The process of verifying permissions. It answers the question, “What are you allowed to do?” (e.g., checking if an authenticated user has the ‘ADMIN’ role to access a specific endpoint).

29. What is the purpose of the @EnableWebSecurity annotation?

  • The @EnableWebSecurity annotation is used on a @Configuration class to enable Spring Security’s web security support. It imports the necessary configuration to set up the security filter chain that intercepts incoming requests and applies security rules.

30. How do you implement method-level security in Spring Boot?

  • You can secure individual methods based on roles or permissions.
    1. First, enable it by adding @EnableGlobalMethodSecurity(prePostEnabled = true) to a configuration class.
    2. Then, use annotations like @PreAuthorize("hasRole('ADMIN')") or @PreAuthorize("#username == authentication.principal.username") on your service methods to define access control rules.

Spring Boot with Testing and Deployment

This section focuses on testing and deploying your Spring Boot applications.

31. What is the purpose of the @SpringBootTest annotation?

  • @SpringBootTest is a powerful annotation for writing integration tests. It loads the full application context, including auto-configuration and all your beans, allowing you to test the interaction between different layers of your application. It can even start a real or mock embedded web server for testing REST controllers.

32. What is the difference between @MockBean and @Mock?

  • @Mock is a standard Mockito annotation used to create a pure mock object of a class in a unit test. It does not interact with the Spring context.
  • @MockBean is a Spring Boot annotation specifically for integration tests. It creates a mock object of a bean and replaces any existing bean of the same type in the Spring ApplicationContext. This is perfect for mocking an external dependency (like a database repository or a REST client) in a @SpringBootTest.

33. How do you test a REST controller in Spring Boot?

  • The preferred way is to use @WebMvcTest, a specialized test slice annotation that focuses only on the web layer. It auto-configures MockMvc, a powerful tool for sending mock HTTP requests to your controllers and asserting the responses without needing a full-blown server. You would use @MockBean to mock the service layer dependencies of your controller.

34. How do you deploy a Spring Boot application?

  • The most common method is to package the application as an executable “fat” JAR. This JAR contains all dependencies and an embedded server. You can deploy it by simply running java -jar my-app.jar on any machine with a JRE. For containerized environments like Docker, this JAR is added to a container image. Alternatively, you can package it as a traditional WAR file to deploy on an external application server like Tomcat or JBoss.

35. What is Spring Boot DevTools and what are its features?

  • Spring Boot DevTools is a set of tools aimed at improving the developer experience. When you add the spring-boot-devtools dependency, you get:
    • Automatic Restart: The application automatically restarts whenever files on the classpath change, speeding up the code-and-test cycle.
    • LiveReload: Triggers a browser refresh when resources (like HTML or CSS) change.
    • Sensible Development Defaults: Disables caching for template engines like Thymeleaf.

Advanced and Scenario-Based Questions

This section presents more complex and scenario-based questions to test your problem-solving skills.

36. How would you optimize the startup time of a Spring Boot application?

  • Lazy Initialization: Configure Spring Boot to initialize beans lazily by setting spring.main.lazy-initialization=true. This defers bean creation until they are actually needed.
  • Disable Unused Auto-Configurations: Explicitly exclude auto-configurations that you don’t need using the exclude attribute in @SpringBootApplication.
  • Reduce Component Scan Scope: Ensure your @ComponentScan is not scanning unnecessary packages.
  • Use Spring Native (Advanced): For maximum performance, compile your application to a native executable using GraalVM. This dramatically reduces startup time and memory consumption but has certain limitations.
  • Analyze with spring-boot-actuator/startup: Use the Actuator’s startup endpoint to analyze the application startup process and identify beans that are slow to initialize.

37. Explain @ConfigurationProperties with complex, nested objects.

  • @ConfigurationProperties is a powerful feature for binding external configuration (from .yml or .properties files) to strongly-typed Java objects. For nested objects, you simply mirror the structure of your configuration file in your Java classes.
    • YAML Example (application.yml):
app:
  credentials:
    username: user123
    api-key: secret-key
  notification:
    email: notify@example.com
    • Java Class Example
@ConfigurationProperties(prefix = "app")
public class AppConfig {
    private Credentials credentials;
    private Notification notification;
    // getters and setters

    public static class Credentials {
        private String username;
        private String apiKey;
        // getters and setters
    }

    public static class Notification {
        private String email;
        // getters and setters
    }
}
  • You then enable this with @EnableConfigurationProperties(AppConfig.class).

38. What are the challenges with distributed tracing and how do you implement it?

  • Challenges:
    • Context Propagation: Ensuring a unique trace ID is passed across all service calls for a single request.
    • Performance Overhead: Collecting and sending trace data can impact application performance.
    • Visualization: Making sense of the trace data from hundreds of services.
  • Implementation: Spring Boot integrates with the Micrometer Tracing library (which replaced Spring Cloud Sleuth).
    1. Add the dependencies for a tracer (e.g., micrometer-tracing-bridge-brave) and a reporter (e.g., zipkin-reporter-brave).
    2. Configure the application name (spring.application.name) and the endpoint for your tracing collector (e.g., Zipkin or Jaeger).
    3. Micrometer automatically instruments common communication libraries (like RestTemplate and message queues) to propagate the trace and span IDs.

39. How would you design a modular application in Spring Boot?

  • The best approach is to use a multi-module Maven or Gradle project. This allows you to break the application into logical modules that can be developed and tested independently. A typical structure might be:
    • parent-project (manages dependencies and plugins)
      • api-module (contains DTOs and interface definitions)
      • core-module (contains business logic and services)
      • persistence-module (contains repositories and data entities)
      • webapp-module (the main executable Spring Boot application, brings all other modules together)
  • This promotes separation of concerns, reusability, and enables different teams to work on different modules in parallel.

40. How do you handle failures and retries in a microservices architecture?

  • You use resilience patterns. Spring Cloud provides integrations for this:
    • Retries: For transient, temporary failures (like a brief network glitch), you can use libraries like Spring Retry (@Retryable annotation) to automatically retry a failed operation.
    • Circuit Breaker: For more serious or prolonged failures, you use the Circuit Breaker pattern (implemented with libraries like Resilience4j via spring-cloud-starter-circuitbreaker-resilience4j). If a service repeatedly fails, the circuit “opens,” and subsequent calls fail fast without even attempting to contact the failing service. This prevents cascading failures. You should also provide a @CircuitBreaker(fallbackMethod="...") to return a default response when the circuit is open.

41. Explain the concept of a “fat jar” and its advantages and disadvantages.

  • A “fat jar” (or executable JAR) is a single, self-contained archive that includes your compiled application code along with all of its dependencies and an embedded server.
    • Advantages:
      • Simplicity: Extremely easy to deploy and run (java -jar app.jar).
      • Portability: Runs anywhere a Java Runtime Environment (JRE) is installed.
    • Disadvantages:
      • Size: Can be very large.
      • Inefficient for Containers: In a Docker image, any small code change requires rebuilding and pushing the entire large JAR layer, which is slow and inefficient. Layered JARs (a feature in Spring Boot) can help mitigate this.

42. How would you implement caching in a Spring Boot application?

  • Spring Boot provides a powerful caching abstraction that makes it easy to add caching.
    1. Enable caching by adding @EnableCaching to a configuration class.
    2. Add a caching provider dependency, such as spring-boot-starter-cache and caffeine for in-memory caching or spring-boot-starter-data-redis for distributed caching.
    3. Use annotations on your methods:
      • @Cacheable("books"): Caches the result of the method. If called again with the same arguments, the result is returned from the cache instead of executing the method.
      • @CacheEvict("books", allEntries=true): Removes data from the cache (e.g., after an update or delete operation).
      • @CachePut("books"): Always executes the method and updates the cache with the new result.

43. What is the difference between reactive and imperative programming, and how does Spring Boot support both?

  • Imperative Programming: The traditional, sequential model. When you make a call (e.g., to a database), your thread blocks and waits for the response. This is the model used by default in Spring MVC.
  • Reactive Programming: An asynchronous, non-blocking, event-driven model. Instead of blocking, you register a callback that will be executed when the result is available. This allows a small number of threads to handle a large number of concurrent I/O-bound requests efficiently.
  • Spring Boot Support:
    • Imperative: spring-boot-starter-web (uses Spring MVC and a servlet container like Tomcat).
    • Reactive: spring-boot-starter-webflux (uses Project Reactor and a reactive server like Netty).

44. How do you deal with database schema evolution in a Spring Boot application?

  • You should never let Hibernate (spring.jpa.hibernate.ddl-auto) manage your production schema. The best practice is to use a database migration tool like Flyway or Liquibase.
    • These tools allow you to version your database schema using SQL scripts (Flyway) or more abstract formats like XML/YAML (Liquibase).
    • When the application starts, the tool checks the database’s schema version and automatically applies any new migration scripts in order. This ensures the database schema is always in a known, consistent state across all environments.

45. What are the best practices for logging in a Spring Boot application?

  • Use an Abstraction: Use SLF4J as the logging facade to decouple your code from a specific logging implementation (like Logback or Log4j2). Spring Boot does this by default.
  • Use Structured Logging: Configure your logger to output logs in JSON format. This makes them easily parsable by log aggregation tools like the ELK stack (Elasticsearch, Logstash, Kibana) or Splunk.
  • Use Correlation IDs: Use a Mapped Diagnostic Context (MDC) to add a unique correlation ID to every log statement generated during a single request. This is essential for tracing a request’s journey through multiple microservices.
  • Log at Appropriate Levels: Use DEBUG for development, INFO for significant business events, WARN for potential issues, and ERROR for actual errors.
  • Don’t Log Sensitive Data: Be careful not to log passwords, API keys, or personally identifiable information (PII).

46. How would you secure sensitive information like passwords and API keys?

  • Never hardcode secrets in application.properties or source code.
  • Externalize Configuration: Use environment variables or command-line arguments to pass secrets to the application. This is a common practice in containerized environments.
  • Use a Secrets Management Tool: For a robust and secure solution, integrate with a dedicated secrets management service:
    • HashiCorp Vault: A popular open-source tool. Spring Cloud Vault provides easy integration.
    • AWS Secrets Manager / GCP Secret Manager / Azure Key Vault: Cloud-provider specific solutions.
    • Kubernetes Secrets: The native way to handle secrets in a Kubernetes environment.

47. Explain the concept of a “sidecar” pattern in a microservices architecture.

  • The sidecar pattern involves deploying a helper container (the sidecar) alongside each instance of your application container in the same pod (in Kubernetes terms). This sidecar handles cross-cutting concerns that are decoupled from the application’s core logic.
  • Common uses:
    • Service Mesh Proxy: A sidecar like Envoy or Linkerd can handle service discovery, routing, retries, and circuit breaking.
    • Log Aggregation: A sidecar can collect logs from the application container and forward them to a central logging system.
    • Security: A sidecar can handle mTLS authentication and authorization policies.

48. How do you implement a health check for a downstream service?

  • You can create a custom Spring Boot Actuator health indicator.
    1. Create a class that implements the HealthIndicator interface.
    2. Annotate it with @Component.
    3. Override the health() method. Inside this method, make a call to the downstream service (e.g., using RestTemplate or WebClient to hit its /health endpoint).
    4. Based on the response, return Health.up().build() for success or Health.down().withDetail(“reason”, “Service is unreachable”).build() for failure.This custom indicator will automatically be included in the response of your application’s /actuator/health endpoint.

49. What is the role of the ApplicationRunner and CommandLineRunner interfaces?

  • Both are functional interfaces that allow you to execute code after the Spring ApplicationContext has been fully loaded but before the application starts accepting requests. They are useful for one-time initialization tasks.
  • Difference:
    • CommandLineRunner: Its run(String... args) method provides the raw command-line arguments passed to the application as a string array.
    • ApplicationRunner: Its run(ApplicationArguments args) method provides the arguments wrapped in a more convenient ApplicationArguments object, which can differentiate between option arguments (e.g., --port=9090) and non-option arguments.
  • ApplicationRunner is generally preferred due to its richer argument model.

50. How would you design a resilient and fault-tolerant microservices architecture?

  • A resilient architecture is built by combining several patterns, most of which are supported by Spring Boot and Spring Cloud:
    • Decoupling: Use asynchronous communication with message queues (like RabbitMQ or Kafka) where possible to prevent direct dependencies.
    • Failure Isolation: Implement the Circuit Breaker pattern (with Resilience4j) to stop cascading failures.
    • Service Discovery: Use a service registry (like Eureka or Consul) so services can find each other dynamically, allowing for instances to fail and be replaced without manual intervention.
    • Load Balancing: Use a client-side load balancer (like Spring Cloud LoadBalancer) to distribute requests across multiple healthy instances of a service.
    • Redundancy: Run multiple instances of each service.
    • Health Checks: Implement thorough health checks with Actuator so the orchestration platform (like Kubernetes) knows when to restart or replace a failing instance.
    • Graceful Degradation: Use fallbacks to provide partial functionality even when a downstream dependency is unavailable.

Conclusion

Congratulations on making it through our list of the Top 50 Advanced Spring Boot Interview Questions & Answers! We hope this guide has been a valuable resource in your interview preparation. Remember, the key to success is not just memorizing the answers but understanding the underlying concepts and principles.

Good luck with your interviews, and we’re confident that with this knowledge, you’ll be well on your way to landing your dream job! 🌟

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