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epam interview process

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1. Java Basics

  • JVM, JRE, JDK – understand the difference.

  • Data types & Variables – primitive vs reference types.

  • Operators – arithmetic, relational, logical, bitwise.

  • Control statements – if, switch, loops (for, while, do-while).

  • Type Casting – implicit (widening) vs explicit (narrowing).


2. Object-Oriented Programming (OOP)

  • Classes & Objects – creation, instance vs static variables.

  • Constructors – default, parameterized, constructor overloading.

  • Inheritance – single, multilevel, hierarchical; super keyword.

  • Polymorphism

    • Compile-time (Method Overloading)

    • Runtime (Method Overriding) – rules, @Override annotation.

  • Encapsulation – getters, setters, access modifiers.

  • Abstraction – abstract classes, interfaces.

  • Association, Aggregation, Composition – object relationships.


3. Core Java Concepts

  • String & StringBuilder / StringBuffer – immutability, common methods.

  • Wrapper Classes & Autoboxing / Unboxing – Integer, Double, etc.

  • Enums & Annotations – enum basics, usage, built-in annotations.

  • Static & final keywords – static methods, variables, final classes.


4. Exception Handling

  • Checked vs Unchecked Exceptions – examples and rules.

  • Try-catch-finally – flow, multiple catch blocks.

  • Throws vs Throw – differences.

  • Custom exceptions – how to create your own.


5. Collections Framework

  • List, Set, Map – differences and implementations.

    • ArrayList vs LinkedList

    • HashSet vs TreeSet

    • HashMap vs TreeMap vs LinkedHashMap

  • Queue & Deque – PriorityQueue, ArrayDeque.

  • Iterator & ListIterator – traversal & modification.

  • Collections class & Arrays class utility methods.


6. Generics

  • Generic classes, methods, and interfaces.

  • Wildcards – ?, extends, super.

  • Type safety & benefits.


7. Multithreading & Concurrency

  • Thread creation – extends Thread vs implements Runnable.

  • Thread methods – start(), run(), sleep(), join(), yield().

  • Synchronization – synchronized block & method.

  • Concurrent utilities – ExecutorService, ConcurrentHashMap, etc.


8. Java I/O & NIO

  • File, FileReader, FileWriter, BufferedReader, BufferedWriter.

  • Serialization / Deserialization – Serializable interface.

  • NIO basics – Paths, Files, Channels, Buffers.


9. Java 8 Features (Highly important in interviews)

  • Lambda expressions – syntax, functional interfaces.

  • Streams API – filter, map, collect, reduce.

  • Optional – avoid null pointer exceptions.

  • Method references – static, instance, constructor references.

  • Default & static methods in interfaces.


10. Miscellaneous / Advanced Core

  • Java Memory Model – stack vs heap, garbage collection basics.

  • Immutable objects – how to create, examples.

  • equals() & hashCode() – contract and importance in collections.

  • Comparable vs Comparator – sorting objects.

  • Design patterns basics – Singleton, Factory (optional but helpful).

📌 Core Data Structures

  1. Arrays

    • Basics: Searching, Sorting (linear search, binary search, bubble/insertion/selection sort)

    • Sliding Window problems (max sum subarray, longest substring without repeat)

    • Prefix sum & Kadane’s Algorithm

  2. Strings

    • Palindrome check, anagram check

    • String reversal, substring problems

    • Pattern matching basics (Naïve, KMP idea)

  3. Linked List

    • Singly & Doubly linked list basics

    • Reversal of linked list (iterative & recursive)

    • Detect & remove cycle (Floyd’s algorithm)

    • Merge two sorted linked lists

  4. Stack & Queue

    • Implement using array/linked list

    • Balanced parentheses, Next Greater Element

    • Min/Max stack

    • Queue variations: Circular queue, Deque

    • Problems: LRU cache idea, sliding window maximum

  5. Hashing

    • HashMap/HashSet basics

    • Count frequency of elements

    • Two-sum problem

    • Subarray with given sum

  6. Trees

    • Binary Tree vs Binary Search Tree (BST)

    • Traversals: Preorder, Inorder, Postorder, Level order

    • Lowest Common Ancestor (LCA)

    • Height, diameter of tree

    • Balanced Binary Tree

    • BST operations (insert, search, delete)

  7. Graphs

    • Representations (Adjacency list/matrix)

    • BFS, DFS

    • Shortest path (Dijkstra, BFS for unweighted)

    • Minimum Spanning Tree (Prim’s, Kruskal’s – just basics for freshers)

    • Cycle detection in graph

  8. Heap

    • Min-heap, Max-heap basics

    • Heap sort

    • Priority queue applications

    • Top K elements problems


📌 Algorithms

  1. Sorting & Searching

    • Merge Sort, Quick Sort

    • Binary Search applications (first/last occurrence, peak element, square root using binary search)

  2. Recursion & Backtracking

    • Factorial, Fibonacci using recursion

    • N-Queens, Rat in a Maze, Subset/Permutation generation

  3. Dynamic Programming (DP) – Basics

    • Fibonacci (recursive + DP)

    • Longest Common Subsequence (LCS)

    • 0/1 Knapsack

    • Coin change, Minimum steps to reach end

  4. Greedy Algorithms

    • Activity selection problem

    • Huffman coding (basics)

    • Minimum spanning tree (Prim’s/Kruskal’s)

🔑 SQL Topics Important for EPAM Interviews (Fresher)

1. Basic SQL Fundamentals

  • What is DBMS vs RDBMS

  • Primary Key, Foreign Key, Unique, Not Null

  • Difference between DDL, DML, DCL, TCL

  • Normalization & Denormalization (1NF, 2NF, 3NF basic understanding)

  • Indexes (clustered vs non-clustered)


2. SQL Queries (Most Important 💯)

  • SELECT, WHERE, ORDER BY, GROUP BY, HAVING

  • DISTINCT usage

  • Aggregate functions (COUNT, SUM, AVG, MAX, MIN)

  • String functions (LIKE, UPPER, LOWER, TRIM, SUBSTRING)

  • Date functions (NOW, DATEADD, DATEDIFF, etc.)

👉 These are used heavily in problem-solving.


3. JOINS (High Priority 🚨)

  • INNER JOIN

  • LEFT JOIN / RIGHT JOIN

  • FULL OUTER JOIN

  • SELF JOIN

  • CROSS JOIN

  • Practical problems (e.g., find employees with no manager, find students with no marks, etc.)


4. Subqueries & Nested Queries

  • Scalar subquery (returns single value)

  • IN, ANY, ALL, EXISTS

  • Subquery vs JOIN

  • Correlated subqueries


5. Set Operations

  • UNION vs UNION ALL

  • INTERSECT

  • EXCEPT / MINUS


6. Constraints

  • PRIMARY KEY vs UNIQUE

  • CHECK, DEFAULT

  • FOREIGN KEY with ON DELETE CASCADE

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