Cognizant Coding Questions with Answers: The Complete GenC Guide (2026)

If you’re preparing for a Cognizant interview, especially through GenC, GenC Next, or off-campus hiring drives, mastering the most commonly asked Cognizant coding questions is one of the highest-leverage things you can do. The coding round is where most candidates get filtered out, so knowing exactly what to expect makes a real difference.

This guide breaks down Cognizant’s hiring process, the coding round pattern, and the most frequently asked Cognizant coding questions with answers in C, C++, Java, and Python.

Cognizant Hiring Process Overview

Cognizant typically hires freshers through a few main paths:

• GenC — the standard graduate entry-level hiring track
• GenC Next — for candidates targeting more technical, engineering-focused roles
• GenC Pro — specialized track with deeper technical assessments
• Off-campus drives — open applications outside campus placement season

Key Rounds

1. Aptitude Test (Quant, Verbal, Logical Reasoning)
2. Coding/Technical Assessment
3. Technical Interview
4. HR Interview

The coding round is where preparation pays off the most, since it’s the first real technical filter in the process. For a real sense of how these rounds actually play out, this GenC Next candidate’s interview experience is a useful reference alongside this guide.

Cognizant Coding Round Pattern

Most Asked Cognizant Coding Questions with Answers

Below are frequently reported Cognizant coding questions, with Python solutions you can adapt to C, C++, or Java.

1. Check if a String is a Palindrome

def is_palindrome(s):
    s = s.lower()
    return s == s[::-1]

print(is_palindrome("Malayalam"))

2. Find the Factorial of a Number

def factorial(n):
    return 1 if n == 0 else n * factorial(n - 1)

print(factorial(6))

3. Find the Missing Number in an Array

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

print(find_missing([1, 2, 4, 5, 6], 6))  # Output: 3

4. Count Vowels and Consonants in a String

def count_vowels_consonants(s):
    vowels = sum(1 for c in s.lower() if c in 'aeiou')
    consonants = sum(1 for c in s.lower() if c.isalpha() and c not in 'aeiou')
    return vowels, consonants

print(count_vowels_consonants("Cognizant"))

5. Reverse Words in a Sentence

def reverse_words(sentence):
    return ' '.join(sentence.split()[::-1])

print(reverse_words("Cognizant coding questions"))

6. Find the Second Largest Number in an Array

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

print(second_largest([12, 35, 1, 10, 34, 1]))

7. Check for Armstrong Number

def is_armstrong(n):
    digits = str(n)
    power = len(digits)
    return n == sum(int(d) ** power for d in digits)

print(is_armstrong(153))

8. Remove Duplicate Elements from a List

def remove_duplicates(lst):
    return list(dict.fromkeys(lst))

print(remove_duplicates([1, 2, 2, 3, 4, 4, 5]))

Also Read: TCS NQT Coding Questions

Key Programming Topics to Prepare

To perform well on Cognizant coding questions, focus on:

• Strings (palindromes, reversing, counting characters)
• Arrays (missing numbers, duplicates, second largest/smallest)
• Number theory (factorial, Armstrong numbers, prime checks)
• Basic recursion and loops
• Simple pattern printing

Most Cognizant coding questions test fundamentals rather than advanced algorithms, so solid basics matter more than memorizing obscure techniques.

Tips to Crack Cognizant Coding Questions

• Read the problem twice before coding — misreading constraints is a common, avoidable mistake
• Handle edge cases — empty input, single-element arrays, and negative numbers are often part of the hidden test cases
• Keep code simple and readable — Cognizant’s evaluation favors clarity over clever one-liners
• Practice under time pressure — with only 45–60 minutes, familiarity with common patterns saves valuable time

Frequently Asked Questions

How many coding questions are asked in the Cognizant technical assessment?
Usually 1 to 2 coding questions, to be solved within 45–60 minutes.

Does Cognizant repeat coding questions?
Similar patterns and question types do repeat across hiring batches, though exact questions vary.

Which programming language should I use for the Cognizant coding test?
Any language you’re most comfortable in — C, C++, Java, and Python are all commonly supported.

Is the Cognizant coding round difficult?
It’s generally easy to medium difficulty, focused on fundamentals rather than advanced algorithms — approachable with consistent practice.

Conclusion

Cracking Cognizant’s coding round comes down to consistent practice on fundamentals rather than chasing advanced algorithms. Work through these Cognizant coding questions, get comfortable with strings, arrays, and basic number theory, and time yourself so the real assessment doesn’t feel rushed.

If you want to strengthen the fundamentals these questions are built on, our course library covers the languages most commonly used in assessments like this.

Preparing for other companies too? See our complete coding interview questions guide, organized by company.