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Wipro Coding Questions 2025 - Elite NTH Programming Problems with Solutions

Practice 25+ Wipro placement paper coding questions with detailed solutions. Access Wipro Elite NTH programming logic questions and hands-on coding problems in C, C++, Java, Python for Wipro placement 2025-2026.

Wipro Placement Paper Coding Questions - Complete Guide

Section titled “Wipro Placement Paper Coding Questions - Complete Guide”

Practice with 25+ Wipro placement paper coding questions covering the Wipro Elite NTH (National Talent Hunt) Online Programming Test. These questions are representative of what you’ll encounter in Wipro’s online assessment.

What’s Included:

  • 25+ Coding Problems: Easy and Medium level problems with solutions
  • Multiple Language Solutions: C, C++, Java, and Python solutions
  • Time Complexity Analysis: Every solution includes complexity analysis
  • Wipro-Specific Patterns: Focus on arrays, strings, mathematical operations

Wipro Placement Papers 2024

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Wipro Placement Papers 2025

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Complete Wipro Guide

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Wipro Elite NTH Coding Section Breakdown:

SectionQuestionsTimeDifficultyFocus Areas
Online Programming Test260 minEasy-MediumArrays, strings, basic algorithms, math

Languages Allowed: C, C++, Java, Python

Passing Criteria: Solve at least 1 problem completely with all test cases passing

Sum of Array Elements

Problem: Find the sum of all elements in an array.

Example:

Input: [1, 2, 3, 4, 5]
Output: 15

Solution (Java):

public int arraySum(int[] arr) {
int sum = 0;
for (int num : arr) {
sum += num;
}
return sum;
}

Solution (Python):

def array_sum(arr):
return sum(arr)

Solution (C):

int arraySum(int arr[], int n) {
int sum = 0;
for (int i = 0; i < n; i++) {
sum += arr[i];
}
return sum;
}

Time Complexity: O(n) | Space Complexity: O(1)

Find Maximum Element

Problem: Find the maximum element in an array.

Example:

Input: [3, 7, 2, 9, 1]
Output: 9

Solution (Java):

public int findMax(int[] arr) {
int max = arr[0];
for (int num : arr) {
if (num > max) {
max = num;
}
}
return max;
}

Solution (Python):

def find_max(arr):
return max(arr)

Time Complexity: O(n) | Space Complexity: O(1)

Second Largest Element

Problem: Find the second largest element without sorting.

Example:

Input: [12, 35, 1, 10, 34]
Output: 34

Solution (Java):

public int secondLargest(int[] arr) {
int first = Integer.MIN_VALUE;
int second = Integer.MIN_VALUE;
for (int num : arr) {
if (num > first) {
second = first;
first = num;
} else if (num > second && num != first) {
second = num;
}
}
return second;
}

Solution (Python):

def second_largest(arr):
first = second = float('-inf')
for num in arr:
if num > first:
second = first
first = num
elif num > second and num != first:
second = num
return second

Time Complexity: O(n) | Space Complexity: O(1)

Reverse Array

Problem: Reverse an array in-place.

Example:

Input: [1, 2, 3, 4, 5]
Output: [5, 4, 3, 2, 1]

Solution (Java):

public void reverseArray(int[] arr) {
int left = 0, right = arr.length - 1;
while (left < right) {
int temp = arr[left];
arr[left] = arr[right];
arr[right] = temp;
left++;
right--;
}
}

Solution (Python):

def reverse_array(arr):
left, right = 0, len(arr) - 1
while left < right:
arr[left], arr[right] = arr[right], arr[left]
left += 1
right -= 1

Time Complexity: O(n) | Space Complexity: O(1)

Rotate Array by K Positions

Problem: Rotate array to the left by k positions.

Example:

Input: arr = [1, 2, 3, 4, 5], k = 2
Output: [3, 4, 5, 1, 2]

Solution (Java):

public void rotateLeft(int[] arr, int k) {
int n = arr.length;
k = k % n;
reverse(arr, 0, k - 1);
reverse(arr, k, n - 1);
reverse(arr, 0, n - 1);
}
private void reverse(int[] arr, int start, int end) {
while (start < end) {
int temp = arr[start];
arr[start] = arr[end];
arr[end] = temp;
start++;
end--;
}
}

Solution (Python):

def rotate_left(arr, k):
n = len(arr)
k = k % n
return arr[k:] + arr[:k]

Time Complexity: O(n) | Space Complexity: O(1)

Find Duplicate Elements

Problem: Check if array contains duplicates.

Example:

Input: [1, 2, 3, 1]
Output: true

Solution (Java):

public boolean containsDuplicate(int[] nums) {
Set<Integer> seen = new HashSet<>();
for (int num : nums) {
if (seen.contains(num)) {
return true;
}
seen.add(num);
}
return false;
}

Solution (Python):

def contains_duplicate(nums):
return len(nums) != len(set(nums))

Time Complexity: O(n) | Space Complexity: O(n)

Find Missing Number

Problem: Find missing number in array containing 1 to n.

Example:

Input: [1, 2, 4, 5, 6] (n = 6)
Output: 3

Solution (Java):

public int findMissing(int[] nums, int n) {
int expectedSum = n * (n + 1) / 2;
int actualSum = 0;
for (int num : nums) {
actualSum += num;
}
return expectedSum - actualSum;
}

Solution (Python):

def find_missing(nums, n):
expected = n * (n + 1) // 2
return expected - sum(nums)

Time Complexity: O(n) | Space Complexity: O(1)

Master One Language

  • Choose C, C++, Java, or Python
  • Know standard library functions
  • Practice writing code quickly
  • Handle input/output properly

Focus on Common Patterns

  • Array manipulation
  • String processing
  • Mathematical operations
  • Pattern printing

Time Management

  • 30 minutes per problem
  • Read problem carefully
  • Test with given examples
  • Handle edge cases

Common Mistakes to Avoid

  • Off-by-one errors
  • Not handling empty inputs
  • Integer overflow
  • Wrong output format
Practice More Wipro Coding Questions →

Practice Wipro coding questions regularly! Focus on array manipulation, string processing, and mathematical problems. These are the most common problem types in Wipro Elite NTH.

Pro Tip: Wipro values working code that handles all test cases. Focus on correctness first, then optimize if time permits.

Last updated: February 2026