Scenario-Based Technical Questions and Answers
Prepare for your backend development interviews with these scenario-based technical questions and answers. Covering topics like Spring Boot, REST APIs, database design, microservices, performance optimization, and security best practices.
Backend Development
1. Spring Boot & REST API
Scenario: You are tasked to create a REST API to manage user accounts. The system should support CRUD operations and validate inputs. How would you design the API?
Answer:
- Use Spring Boot to create the application.
- Define an entity class (e.g.,
User
) and a corresponding JPA repository. - Implement a controller with CRUD endpoints using
@RestController
. - Use
@Valid
annotations for input validation and handle errors with@ControllerAdvice
. - Return responses in a standardized format using ResponseEntity.
Follow-ups:
- Validation errors can be handled using
@ControllerAdvice
to return meaningful error messages. - Pagination can be implemented using
Pageable
in Spring Data JPA. - Secure endpoints with Spring Security, using JWT for authentication.
2. Microservices Architecture
Scenario: Your application has multiple microservices, and one of them frequently fails due to a network issue. How would you ensure the application remains stable?
Answer:
- Implement a Circuit Breaker pattern using Resilience4j or Hystrix.
- Use fallback methods to provide default responses during service failure.
- Set up retries with exponential backoff.
- Log errors and monitor using tools like Prometheus and Grafana.
Follow-ups:
- Configure a circuit breaker in Resilience4j with time-based sliding windows.
- Use message queues (e.g., Kafka) for asynchronous communication to avoid blocking operations.
- Ensure eventual consistency with distributed transactions or event sourcing.
3. Database Management
Scenario: You need to migrate an application from MySQL to MongoDB. What steps would you follow?
Answer:
- Analyze the existing schema and relationships in MySQL.
- Map the relational structure to MongoDB’s document model.
- Write scripts to migrate data and verify integrity.
- Update application queries to use MongoDB syntax.
- Test thoroughly before deploying.
Follow-ups:
- For hierarchical data, use embedded documents or references in MongoDB.
- Use MongoDB’s transactions for critical operations.
Frontend Development
1. React/Angular
Scenario: You are building a dashboard that fetches data from an API and updates in real-time. How would you implement this?
Answer:
- Use a WebSocket or polling for real-time updates.
- Fetch data from the API using Axios or Fetch.
- Display the data using components and state management (e.g., Redux or Context API).
- Optimize rendering with React.memo or Angular ChangeDetectionStrategy.
Follow-ups:
- Use virtualization for large lists to improve performance.
- Display user-friendly error messages using toast notifications.
Full-Stack Integration
1. End-to-End Functionality
Scenario: You are developing an e-commerce application where a user adds items to a cart, checks out, and receives a confirmation email. Walk through the backend and frontend integration process.
Answer:
- Backend: Create endpoints for adding items, processing payment, and sending emails.
- Frontend: Implement a UI to interact with APIs using Axios/HttpClient.
- Use a message queue (e.g., Kafka) to send confirmation emails asynchronously.
- Ensure data validation and proper error handling at both ends.
DevOps & Deployment
1. CI/CD Pipeline
Scenario: Your team wants to implement a CI/CD pipeline for a Java Spring Boot application. What tools would you use, and what steps would you follow?
Answer:
- Use Jenkins for CI/CD.
- Define a Jenkins pipeline to build the project using Maven, run tests, and create Docker images.
- Push images to a Docker registry and deploy them to Kubernetes or another environment.
Follow-ups:
- Set up automated tests in the pipeline.
- Use monitoring tools like Prometheus for deployed services.
Testing
1. Unit Testing
Scenario: You are tasked with writing unit tests for a service method that interacts with a database. How would you mock the database and write meaningful tests?
Answer:
- Use Mockito to mock the database repository.
- Write tests using JUnit to verify the service logic.
- Use assertions to validate outputs and mock behavior.
Problem-Solving
1. Performance Optimization
Scenario: Your application has a slow API endpoint due to multiple database joins. How would you improve its performance?
Answer:
- Optimize SQL queries and use indexes.
- Use caching mechanisms like Redis for frequently accessed data.
- Split the query into smaller, simpler queries if possible.
- Profile the database queries to identify bottlenecks.