JAVA INTERVIEW MASTER PACK with shubham kamboj

Prepare for your next Java interview with the Java Interview Master Pack—a comprehensive guide for Java Developers, Senior Software Engineers, and Tech Leads.

The pack covers:

✅ Core Java & Advanced Java

Sample Questions:

• How does HashMap work internally?
• What is the difference between == and .equals()?
• Explain Java memory management and Garbage Collection.
• What are the differences between ArrayList and LinkedList?

✅ Collections & Multithreading

Sample Questions:

• How does ConcurrentHashMap work?
• What is the difference between synchronized and Lock?
• Explain ExecutorService and CompletableFuture.
• What are deadlock, livelock, and race conditions?

✅ Spring Boot & Spring Security

Sample Questions:

• How does Spring Boot auto-configuration work?
• What is Dependency Injection?
• Explain the Spring Bean lifecycle.
• How do JWT and OAuth2 work in Spring Security?

✅ Microservices & Design Patterns

Sample Questions:

• What are the challenges of microservices?
• Explain Saga and Circuit Breaker patterns.
• How do you handle inter-service communication?
• How would you design a scalable microservices architecture?

✅ Kafka & Distributed Systems

Sample Questions:

• Explain Kafka topics, partitions, and consumer groups.
• What is the difference between at-most-once and exactly-once delivery?
• How do you handle failed Kafka messages?
• How does Kafka maintain scalability and fault tolerance?

✅ SQL, JPA & Hibernate

Sample Questions:

• What is the N+1 query problem?
• Explain lazy vs eager loading.
• What are database indexes and their advantages?
• How does @Transactional work?

✅ AWS & Cloud Concepts

Sample Questions:

• What are the differences between EC2, S3, and RDS?
• How would you secure an application deployed on AWS?
• Explain scalability and high availability in AWS.
• How does AWS load balancing work?

✅ Low-Level & High-Level System Design

Sample Questions:

• Design a URL-shortener system.
• Design a scalable notification service.
• How would you design a food-delivery application?
• Explain caching, load balancing, and database sharding.