hacker earth common hiring questions(Full stack questions)

Introduction：

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Related questions

Here's a structured overview of common hiring questions on HackerEarth, categorized by topic and difficulty:

Data Structures

1. Arrays/Strings

   • Easy: Reverse a string, FizzBuzz, Two Sum, Missing number in an array.
   • Medium: Maximum subarray sum (Kadane’s algorithm), Rotate array by K steps, Longest palindromic substring, Merge overlapping intervals.
   • Hard: Sliding window maximum, Trapping rainwater problem, Longest substring without repeating characters.

2. Linked Lists

   • Easy: Detect cycle (Floyd’s Algorithm), Reverse a linked list.
   • Medium: Find intersection point of two lists, Merge two sorted lists.
   • Hard: LRU cache design (using hashmap and doubly linked list).

3. Trees/Graphs

   • Easy: Check if a tree is balanced, Inorder/Preorder traversal.
   • Medium: Lowest Common Ancestor (LCA), Validate BST, BFS/DFS for number of islands.
   • Hard: Dijkstra’s shortest path, Detect cycle in a graph, Topological sorting.

4. Stacks/Queues

   • Medium: Implement stack using queues, Balanced parentheses check, Next greater element.

Algorithms

1. Dynamic Programming (DP)

   • Medium: Knapsack problem, Longest Increasing Subsequence (LIS), Coin change.
   • Hard: Edit distance, Matrix chain multiplication.

2. Greedy Algorithms

   • Medium: Activity selection, Minimum platforms for trains, Fractional knapsack.

3. Search/Sort

   • Easy: Binary search, Quicksort/MergeSort implementation.
   • Hard: Kth smallest element in an unsorted array.

4. Bit Manipulation

   • Easy: Count set bits, Find non-repeating number.
   • Medium: Divide without division operator.

Problem-Solving Patterns

1. Two Pointers: Pair with target sum, Remove duplicates.
2. Sliding Window: Longest substring with K distinct characters.
3. Backtracking: N-Queens, Permutations of a string.
4. Math: Prime numbers (Sieve of Eratosthenes), Factorial trailing zeros.

Real-World Scenarios

• System Design: Design a cache (LRU), Optimize delivery routes.
• Efficiency: Handle large datasets (e.g., log processing), Optimize time/space complexity.

Sample Questions

1. Easy: Check if two strings are anagrams.
2. Medium: Find the shortest path in a maze using BFS.
3. Hard: Solve the 0-1 knapsack problem with DP.

Tips for Preparation

• Practice coding under time constraints.
• Focus on edge cases and optimization.
• Use platforms like HackerEarth, LeetCode, or CodeSignal for mock tests.

These questions test core computer science concepts, algorithmic thinking, and coding efficiency—key traits assessed in technical hiring.