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Interview guide Java 17 sections

Must Prepare Topic Before Attending Any Java Backend Interview

1. Java Core What are the differences between JDK, JRE, and JVM? How does the JVM manage memory? Explain Heap vs Stack. What causes OutOfMemoryError? What causes StackOverflowError?…

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By javainterviewprep July 6, 2026 4 min read

1. Java Core

  • What are the differences between JDK, JRE, and JVM?
  • How does the JVM manage memory?
  • Explain Heap vs Stack.
  • What causes OutOfMemoryError?
  • What causes StackOverflowError?
  • How does Garbage Collection work?
  • What GC algorithms are available?
  • Explain equals() vs ==.
  • Why should hashCode() be overridden with equals()?
  • Explain immutable classes.
  • How does String Pool work?
  • Explain volatile.
  • What is synchronization?
  • What is Reentrant Lock?
  • Explain Atomic classes.
  • Explain ExecutorService.
  • Callable vs Runnable.
  • Future vs CompletableFuture.
  • How does ConcurrentHashMap work?
  • Explain fail-fast vs fail-safe iterators.

2. Java 8

  • Functional Interface
  • Lambda Expressions
  • Method References
  • Stream API
  • Parallel Stream
  • Optional
  • Collectors
  • GroupingBy
  • PartitioningBy
  • FlatMap
  • Reduce
  • Default Methods
  • Date & Time API

Coding questions:

  • Find duplicate elements
  • Count frequency
  • Top N salaries
  • Second highest salary
  • Group employees by department
  • Merge lists
  • Remove duplicates
  • Find longest string

3. Spring Boot

  • Why Spring Boot?
  • Spring Boot Auto Configuration
  • Starter Dependencies
  • Spring Boot Lifecycle
  • Bean Lifecycle
  • Bean Scope
  • @Component vs @Bean
  • @Autowired vs Constructor Injection
  • @Value vs @ConfigurationProperties
  • Profiles
  • External Configuration
  • Actuator
  • Spring Boot Logging
  • Exception Handling
  • Validation
  • Filters
  • Interceptors

4. Spring Security + JWT

  • Authentication vs Authorization
  • Security Filter Chain
  • JWT Flow
  • Stateless Authentication
  • Refresh Token
  • Access Token
  • OAuth2
  • CORS
  • CSRF
  • Password Encoding
  • Method Security
  • Custom Authentication Filter

5. JPA & Hibernate

You’ve already covered most of these, but revise:

  • Entity States
  • Persistence Context
  • First-Level Cache
  • Second-Level Cache
  • Lazy vs Eager
  • N+1 Problem
  • Cascade Types
  • Orphan Removal
  • Fetch Join
  • JPQL
  • Criteria API
  • Hibernate Filters
  • Optimistic Locking
  • Pessimistic Locking
  • Dirty Checking
  • Transactions
  • Batch Processing

6. SQL

  • Joins
  • Indexes
  • Composite Index
  • Clustered vs Non-clustered Index
  • Execution Plan
  • Explain Analyze
  • ACID
  • Isolation Levels
  • Deadlock
  • Locking
  • MVCC
  • Window Functions
  • CTE
  • Stored Procedure
  • Trigger
  • Pagination

Coding:

  • Nth Highest Salary
  • Duplicate Records
  • Running Total
  • Rank
  • Dense Rank
  • Department-wise highest salary
  • Recursive queries

7. Microservices

  • Why Microservices?
  • Monolith vs Microservices
  • Service Discovery
  • API Gateway
  • Config Server
  • Circuit Breaker
  • Retry
  • Bulkhead
  • Rate Limiting
  • Distributed Transactions
  • Saga Pattern
  • Event-driven Architecture
  • Synchronous vs Asynchronous Communication
  • REST vs Messaging
  • Idempotency
  • API Versioning

8. Docker

  • Docker Architecture
  • Dockerfile
  • Image vs Container
  • Volume
  • Network
  • Multi-stage Build
  • Docker Compose
  • Health Check

9. Kubernetes

  • Pod
  • ReplicaSet
  • Deployment
  • Service
  • Ingress
  • ConfigMap
  • Secret
  • Namespace
  • Persistent Volume
  • Liveness Probe
  • Readiness Probe
  • HPA
  • Rolling Update
  • Rollback

10. Observability (Very Hot Topic)

Since we discussed this today.

  • What is Observability?
  • Monitoring vs Observability
  • Three Pillars
  • Metrics
  • Logs
  • Traces
  • Distributed Tracing
  • What is OpenTelemetry?
  • OpenTelemetry Architecture
  • OpenTelemetry Collector
  • Java Agent
  • Custom Instrumentation
  • Prometheus
  • Grafana
  • Loki
  • Elasticsearch
  • Jaeger
  • Grafana Tempo
  • Trace ID
  • Span ID
  • PromQL
  • Alerting

Scenario Questions:

  • API is slow. How do you investigate?
  • Database deadlock occurred.
  • CPU is high.
  • Memory leak.
  • Service A calling Service B failed.
  • Kafka consumer lag increased.

11. Kafka

  • Kafka Architecture
  • Topic
  • Partition
  • Offset
  • Consumer Group
  • Rebalancing
  • Replication
  • Producer Acknowledgement
  • ISR
  • Idempotent Producer
  • Exactly Once
  • Retry
  • DLQ

12. Redis

  • Why Redis?
  • Cache Aside
  • Write Through
  • Write Back
  • Redis Data Types
  • TTL
  • Pub/Sub
  • Distributed Lock
  • Cache Eviction

13. System Design

Design:

  • URL Shortener
  • Parking Lot
  • WhatsApp
  • BookMyShow
  • Food Delivery
  • Hotel Booking
  • Payment System
  • Notification System

Concepts:

  • Load Balancer
  • CDN
  • Caching
  • Sharding
  • Replication
  • Partitioning
  • CAP Theorem
  • Consistent Hashing
  • Database Scaling

14. DevOps

  • CI/CD
  • Jenkins
  • GitHub Actions
  • Argo CD
  • GitOps
  • Blue-Green Deployment
  • Canary Deployment
  • Rolling Update

15. AWS Basics

  • EC2
  • S3
  • RDS
  • IAM
  • VPC
  • ELB
  • Auto Scaling
  • CloudWatch
  • ECS
  • EKS

16. Scenario-Based Questions (Most Important)

These are very common in interviews:

  • Your application suddenly becomes slow. How will you investigate?
  • Memory usage keeps increasing every day. What will you do?
  • CPU utilization is 100%. How will you debug it?
  • One microservice is timing out. Where do you start?
  • Database deadlocks are occurring frequently.
  • Kafka messages are not being consumed.
  • One service is returning 500 errors.
  • A deployment failed after release. How will you rollback?
  • How do you debug production issues without direct server access?
  • How do you identify which microservice is causing latency?
  • How would you design a highly available payment system?
  • What happens when one service is down in a microservice architecture?
  • How do you prevent duplicate order creation?
  • How would you handle distributed transactions?

17. Coding (DSA)

For product companies, don’t skip this.

  • Arrays
  • Strings
  • HashMap
  • Stack
  • Queue
  • Linked List
  • Binary Tree
  • BST
  • Heap
  • Graph
  • BFS
  • DFS
  • Sliding Window
  • Two Pointer
  • Binary Search
  • Dynamic Programming (basic)