Data Structures and Algorithms
- Introduction to Data Structures and Algorithms
- Time and Space Complexity Analysis
- Big-O, Big-Theta, and Big-Omega Notations
- Recursion and Backtracking
- Divide and Conquer Algorithm
- Dynamic Programming: Memoization vs. Tabulation
- Greedy Algorithms and Their Use Cases
- Understanding Arrays: Types and Operations
- Linear Search vs. Binary Search
- Sorting Algorithms: Bubble, Insertion, Selection, and Merge Sort
- QuickSort: Explanation and Implementation
- Heap Sort and Its Applications
- Counting Sort, Radix Sort, and Bucket Sort
- Hashing Techniques: Hash Tables and Collisions
- Open Addressing vs. Separate Chaining in Hashing
- DSA Questions for Beginners
- Advanced DSA Questions for Competitive Programming
- Top 10 DSA Questions to Crack Your Next Coding Test
- Top 50 DSA Questions Every Programmer Should Practice
- Top Atlassian DSA Interview Questions
- Top Amazon DSA Interview Questions
- Top Microsoft DSA Interview Questions
- Top Meta (Facebook) DSA Interview Questions
- Netflix DSA Interview Questions and Preparation Guide
- Top 20 DSA Interview Questions You Need to Know
- Top Uber DSA Interview Questions and Solutions
- Google DSA Interview Questions and How to Prepare
- Airbnb DSA Interview Questions and How to Solve Them
- Mobile App DSA Interview Questions and Solutions
DSA Interview Questions
- DSA Questions for Beginners
- Advanced DSA Questions for Competitive Programming
- Top 10 DSA Questions to Crack Your Next Coding Test
- Top 50 DSA Questions Every Programmer Should Practice
- Top Atlassian DSA Interview Questions
- Top Amazon DSA Interview Questions
- Top Microsoft DSA Interview Questions
- Top Meta (Facebook) DSA Interview Questions
- Netflix DSA Interview Questions and Preparation Guide
- Top 20 DSA Interview Questions You Need to Know
- Top Uber DSA Interview Questions and Solutions
- Google DSA Interview Questions and How to Prepare
- Airbnb DSA Interview Questions and How to Solve Them
- Mobile App DSA Interview Questions and Solutions
Data Structures and Algorithms
- Introduction to Data Structures and Algorithms
- Time and Space Complexity Analysis
- Big-O, Big-Theta, and Big-Omega Notations
- Recursion and Backtracking
- Divide and Conquer Algorithm
- Dynamic Programming: Memoization vs. Tabulation
- Greedy Algorithms and Their Use Cases
- Understanding Arrays: Types and Operations
- Linear Search vs. Binary Search
- Sorting Algorithms: Bubble, Insertion, Selection, and Merge Sort
- QuickSort: Explanation and Implementation
- Heap Sort and Its Applications
- Counting Sort, Radix Sort, and Bucket Sort
- Hashing Techniques: Hash Tables and Collisions
- Open Addressing vs. Separate Chaining in Hashing
- DSA Questions for Beginners
- Advanced DSA Questions for Competitive Programming
- Top 10 DSA Questions to Crack Your Next Coding Test
- Top 50 DSA Questions Every Programmer Should Practice
- Top Atlassian DSA Interview Questions
- Top Amazon DSA Interview Questions
- Top Microsoft DSA Interview Questions
- Top Meta (Facebook) DSA Interview Questions
- Netflix DSA Interview Questions and Preparation Guide
- Top 20 DSA Interview Questions You Need to Know
- Top Uber DSA Interview Questions and Solutions
- Google DSA Interview Questions and How to Prepare
- Airbnb DSA Interview Questions and How to Solve Them
- Mobile App DSA Interview Questions and Solutions
DSA Interview Questions
- DSA Questions for Beginners
- Advanced DSA Questions for Competitive Programming
- Top 10 DSA Questions to Crack Your Next Coding Test
- Top 50 DSA Questions Every Programmer Should Practice
- Top Atlassian DSA Interview Questions
- Top Amazon DSA Interview Questions
- Top Microsoft DSA Interview Questions
- Top Meta (Facebook) DSA Interview Questions
- Netflix DSA Interview Questions and Preparation Guide
- Top 20 DSA Interview Questions You Need to Know
- Top Uber DSA Interview Questions and Solutions
- Google DSA Interview Questions and How to Prepare
- Airbnb DSA Interview Questions and How to Solve Them
- Mobile App DSA Interview Questions and Solutions
Top 25 Java Interview Questions and Answers for Software Engineers
Java continues to dominate enterprise, backend, and Android development, making it one of the most in-demand skills for software engineers. Whether you’re preparing for FAANG interviews or mid-sized product companies, these 25 most frequently asked Java interview questions will help you master concepts, coding challenges, and JVM internals.
Before diving in, stay ahead in your preparation with free Java & DSA practice resources: Sign up here.
- What are the main features of Java?
Java is built on the principle of WORA (Write Once, Run Anywhere).
Key Features:
- Object-Oriented → Uses classes and objects.
- Platform Independent → Bytecode runs on JVM across OS.
- Robust & Secure → Memory management, exception handling.
- Multithreaded → Handles multiple threads at once.
- Portable → Runs on any device with JVM.
Diagram: Java Features Overview
[ Java Program ]
       ↓ Compile
[ Bytecode ] → [ JVM ] → [ Any OS ]
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- Difference between JDK, JRE, and JVM
Component | Full Form | Role |
JDK | Java Development Kit | Tools for development (javac, debugger). |
JRE | Java Runtime Environment | Libraries + JVM for execution. |
JVM | Java Virtual Machine | Converts bytecode → machine code. |
Diagram:
JDK = JRE + Development Tools
JRE = JVM + Libraries
JVM = Execution Engine
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- Explain OOP concepts in Java.
- Encapsulation → Wrapping data/methods.
- Inheritance → Extending functionality.
- Polymorphism → One interface, many forms.
- Abstraction → Hiding implementation.

Code Example:
abstract class Animal { abstract void sound(); }
class Dog extends Animal {
void sound() { System.out.println("Bark"); }
}
- What is the difference between == and .equals()?
Operator
Compares
Example
==
References (memory location)
“abc” == “abc” → true
.equals()
Content
“abc”.equals(new String(“abc”)) → true
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- String vs StringBuilder vs StringBuffer
Class
Mutable
Thread-Safe
Performance
String
No
Yes
Slower
StringBuilder
Yes
No
Faster
StringBuffer
Yes
Yes
Slower (due to synchronization)
StringBuilder sb = new StringBuilder(“Java”);
sb.append(” Rocks”);
System.out.println(sb);
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- Explain Java Memory Model (Heap vs Stack)
Diagram:
Stack Memory    Heap Memory
—————Â Â ——————-
– Local vars    – Objects
– Method calls   – Class instances
– Thread-specific – Shared across threads
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- What is Garbage Collection?
Java automatically reclaims unused memory.
- Generational GC: Young, Old, Permanent generations.
Â
- Algorithms: Mark-and-Sweep, Copying, Compacting.
Â

public class GCExample {
public static void main(String[] args) {
String s = new String("Hello");
s = null; // eligible for GC
System.gc();
}
}
- Difference between final, finally, and finalize()
Term | Meaning |
final | Keyword → constants, no inheritance, no override. |
finally | Block in exception handling → always runs. |
finalize() | Cleanup before GC (deprecated). |
- Checked vs Unchecked Exceptions
- Checked → Compile-time (IOException, SQLException).
- Unchecked → Runtime (NullPointerException).
try {
  FileReader fr = new FileReader(“test.txt”); // checked
} catch (IOException e) { e.printStackTrace(); }
Â
- HashMap vs Hashtable
Feature | HashMap | Hashtable |
---|---|---|
Thread-safe | No | Yes |
Nulls | 1 null key allowed | Not allowed |
Performance | Faster | Slower |
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- Explain ConcurrentHashMap.
- Thread-safe.
- Divides map into segments → reduces contention.
- Allows concurrent reads/writes.
ConcurrentHashMap<Integer, String> map = new ConcurrentHashMap<>();
map.put(1, “Java”);
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- synchronized vs volatile
Keyword | Ensures | Use Case |
synchronized | Mutual exclusion | Thread-safe methods |
volatile | Visibility of changes | Flags, simple variables |
Â
- What are Streams in Java 8?
List<String> names = Arrays.asList(“Tom”,”Jerry”,”Mike”);
names.stream()
     .filter(s -> s.startsWith(“M”))
     .forEach(System.out::println);
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- JVM, JIT, and ClassLoader
- JVM → Executes bytecode.
- JIT → Compiles hot code to native machine code.
- ClassLoader → Dynamically loads classes.
Diagram:
Source → Bytecode → ClassLoader → JVM → Native Code
Â
- Explain Escape Analysis.
JVM optimization: decides if object can be on stack instead of heap → reduces GC load.

16. Implement Singleton in Java.
public class Singleton {
private static volatile Singleton instance;
private Singleton() {}
public static Singleton getInstance() {
if (instance == null) {
synchronized (Singleton.class) {
if (instance == null) instance = new Singleton();
}
}
return instance;
}
}
17. Reverse a String
String str = "Interview";
String reversed = new StringBuilder(str).reverse().toString();
18. Prime Number Program
boolean isPrime(int n) {
if (n <= 1) return false;
for (int i = 2; i <= Math.sqrt(n); i++) {
if (n % i == 0) return false;
}
return true;
}
19. Producer-Consumer Problem
BlockingQueue q = new ArrayBlockingQueue<>(5);
// Producer
new Thread(() -> {
try { q.put(1); } catch(Exception e){}
}).start();
// Consumer
new Thread(() -> {
try { System.out.println(q.take()); } catch(Exception e){}
}).start();
- Detect Deadlock in Java
- Use ThreadMXBean from ManagementFactory.
- Analyze thread dumps.
ThreadMXBean bean = ManagementFactory.getThreadMXBean();
long[] ids = bean.findDeadlockedThreads();

21. LRU Cache with LinkedHashMap
class LRU extends LinkedHashMap {
private int capacity;
LRU(int cap){ super(cap,0.75f,true); this.capacity=cap; }
protected boolean removeEldestEntry(Map.Entry eldest){
return size() > capacity;
}
}
- How does Java support microservices?
- Frameworks → Spring Boot, Micronaut, Quarkus.
- Communication → REST, gRPC, Kafka.
- Securing Java Web Applications
- Use Spring Security.
- Avoid SQL injection with PreparedStatement.
- Enable HTTPS and JWT authentication.
- New Features in Java 17
- Sealed Classes.
- Pattern Matching for Switch.
- Strong Encapsulation.
sealed interface Shape permits Circle, Square {}
final class Circle implements Shape {}
- How to Optimize Java Performance?
- Use efficient data structures.
- Minimize object creation.
- Use profilers (VisualVM, JConsole).
- Apply caching.
- Tune JVM parameters.
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