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🧩 1. Core Java & Advanced Concepts
Be prepared for implementation-based and scenario-driven questions.
Strings & Immutability
- Difference between String, StringBuilder, and StringBuffer.
- Why is String immutable in Java?
- How to create a custom immutable class (implement step by step).
- Memory allocation for Strings (String Pool vs Heap).
- What is serialization and deserialization?
- How to make a class serializable?
- transient and serialVersionUID usage.
- How serialization impacts performance and when to avoid it.
- Explain synchronized, volatile, and ReentrantLock.
- What is the Lock interface and how it differs from synchronized.
- Difference between BlockingQueue, ConcurrentHashMap, and traditional collections.
- What is a deadlock and how to prevent or detect it (practical scenario).
- Thread pool and ExecutorService usage in microservices.
- Callable vs Runnable.
☁️ 2. Microservices Architecture
- Explain what microservices are and where you have implemented them.
- Describe real project(s) where microservices were used (especially in Mastercard-like environments).
- How microservices communicate (REST, gRPC, message queues).
- How to manage configuration, scaling, and deployment on a private cloud.
- Explain how you handle inter-service communication, fault tolerance, and circuit breakers (Hystrix, Resilience4j).
- API Gateway and service registry (Eureka, Consul, etc.).
- Authentication & Authorization in microservices (OAuth2, JWT, Spring Security).
🔄 3. Kafka (3+ Years Expected)
- Explain how you used Kafka in your projects (data pipelines, async communication, event sourcing, etc.).
- Kafka Producer–Consumer model.
- Partitions, offsets, and consumer groups.
- How you ensure exactly-once delivery or handle duplicates.
- Kafka Streams and message ordering.
- Integration of Kafka with Spring Boot microservices (Spring Kafka).
- Performance tuning and troubleshooting Kafka lag.
⚙️ 4. Frameworks & Tools
Spring Framework (Core + Boot)
- Spring Boot annotations (@RestController, @Configuration, @Component, @Service, etc.).
- Dependency Injection & Inversion of Control.
- RESTful APIs and exception handling.
- Spring Data JPA & transaction management.
- Spring Security (Authentication & Authorization).
- Profiles and property management for different environments (private cloud setups).
- Thread management via Executor framework.
- Asynchronous task execution.
💡 5. Design Patterns & Architecture
- Common patterns used in your implementation:
- Singleton, Factory, Builder, Prototype, Strategy, Observer, etc.
- Microservice-related: Circuit Breaker, Gateway Aggregation, Saga, CQRS.
- When and why you used each.
- Have you implemented any custom design pattern or reusable utility component?
🧠 6. Problem-Solving / Scenario-Based Questions
- How would you search or filter based on multiple criteria (e.g., search customers by ID, name, location)?
- How to optimize search (indexes, pagination, caching).
- How you handle failed transactions or partial updates.
- How to debug microservice issues in distributed systems.
👥 7. Agile & Team Collaboration
- Are you following Agile Scrum? Describe sprint cycles, ceremonies (daily stand-up, retrospective, grooming).
- How do you understand user stories and break them into technical tasks?
- How do you estimate tasks and manage backlog?
- How do you handle technical debt and backlog cleanup?
🧰 8. Project & Work Environment
- Describe day-to-day activities (development, review, deployment, production support).
- Team size and roles.
- Tools used: Git, Jenkins, JIRA, SonarQube, etc.
- CI/CD pipeline experience.
- Monitoring & logging (ELK, Splunk, Prometheus, Grafana).
🔐 9. Security
- Difference between authentication and authorization.
- How to secure REST APIs (OAuth2, JWT).
- How to manage secrets/configurations in private cloud (Vault, KMS, config server).
- HTTPS/SSL setup in Spring Boot.
🧭 10. Personal & Role-Fit
- This role is for a sound technical person who can work independently → Be ready with examples showing ownership.
- How you handle ongoing projects, backlog work, and production issues.
- How you contribute to team improvement (code reviews, mentoring, refactoring).
Key Skills
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