Top 10 TCS NQT Coding Questions, and Answers

TCS NQT Coding Question

TCS NQT (National Qualifiers Test) is an online test conducted by Tata Consultancy Services (TCS) for hiring fresh engineering graduates. The coding questions in this test assess a candidate’s programming skills and problem-solving abilities. These questions evaluate how well a candidate can write code, understand problem statements, and devise efficient solutions. This blog has listed the Top 10 TCS NQT Coding Questions. TCS NQT Programming Questions PDF will be uploaded later in this blog.

Furthermore, the coding questions may cover various topics such as arrays, strings, linked lists, trees, recursion, dynamic programming, and more. Freshers need to make a Preparation Strategy for the TCS NQT Exam before learning the TCS NQT Coding Questions. Candidates must practice extensively to develop their coding skills and prepare thoroughly for the TCS NQT coding section.

TCS NQT Coding Question 2024

Candidates can refer to the TCS NQT Coding Question 2024 before appearing for the NQT Exam. The Exam Analysis of the TCS NQT Exam can be referred to understand the Coding Questions that are commonly asked in the TCS NQT Exam are listed below:

Whereas, The coding Questions in Round 2 (Advanced) of the TCS exam have 3-4 coding questions. Students get 90 minutes to solve them. These questions test advanced coding skills by covering moderate to high-level Data Structures and Algorithms topics. The difficulty level is higher compared to earlier rounds. Strong problem-solving and implementation skills are crucial to performing well in this coding round.

Moreover, The difficulty level of these questions ranges from easy to moderate. Mock test pages are available on our Skillvertex blog to allow candidates to excel in the NQT Exam. Additionally, interview Questions can also be accessed through this blog.

What are the 20 TCS NQT Coding Questions and Answers 2024?

1. Reverse a string in Python.

def reverse_string(s):
    return s[::-1]

# Example usage:
print(reverse_string("hello"))  # Output: "olleh"

2. Check if a string is a palindrome in Python.

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

# Example usage:
print(is_palindrome("racecar"))  # Output: True

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

# Example usage:
print(factorial(5))  # Output: 120

def binary_search(arr, target):
    low, high = 0, len(arr) - 1
    while low <= high:
        mid = (low + high) // 2
        if arr[mid] == target:
            return mid
        elif arr[mid] < target:
            low = mid + 1
        else:
            high = mid - 1
    return -1

# Example usage:
print(binary_search([1, 2, 3, 4, 5], 3))  # Output: 2

5. Implement a bubble sort algorithm in Python.

def bubble_sort(arr):
    n = len(arr)
    for i in range(n):
        for j in range(0, n-i-1):
            if arr[j] > arr[j+1]:
                arr[j], arr[j+1] = arr[j+1], arr[j]
    return arr

# Example usage:
print(bubble_sort([5, 3, 2, 4, 1]))  # Output: [1, 2, 3, 4, 5]

6. Find the maximum element in an array in Python.

def find_max(arr):
    max_element = arr[0]
    for num in arr:
        if num > max_element:
            max_element = num
    return max_element

# Example usage:
print(find_max([5, 3, 9, 1, 7]))  # Output: 9

7. Calculate the Fibonacci sequence up to a certain number in Python.

def fibonacci(n):
    fib_sequence = [0, 1]
    while fib_sequence[-1] < n:
        fib_sequence.append(fib_sequence[-1] + fib_sequence[-2])
    return fib_sequence[:-1]

# Example usage:
print(fibonacci(50))  # Output: [0, 1, 1, 2, 3, 5, 8, 13, 21, 34]

8. Remove duplicates from a list in Python.

def remove_duplicates(arr):
    return list(set(arr))

# Example usage:
print(remove_duplicates([1, 2, 2, 3, 4, 4, 5]))  # Output: [1, 2, 3, 4, 5]

9. Check if a number is prime in Python.

def is_prime(n):
    if n <= 1:
        return False
    for i in range(2, int(n**0.5) + 1):
        if n % i == 0:
            return False
    return True

# Example usage:
print(is_prime(17))  # Output: True

10. Find the sum of digits of a number in Python.

def sum_of_digits(n):
    return sum(int(digit) for digit in str(n))

# Example usage:
print(sum_of_digits(12345))  # Output: 15

11. Implement a stack in Python.

class Stack:
    def __init__(self):
        self.items = []

    def push(self, item):
        self.items.append(item)

    def pop(self):
        if not self.is_empty():
            return self.items.pop()

    def is_empty(self):
        return len(self.items) == 0

    def peek(self):
        if not self.is_empty():
            return self.items[-1]

    def size(self):
        return len(self.items)

# Example usage:
stack = Stack()
stack.push(1)
stack.push(2)
print(stack.peek())  # Output: 2
stack.pop()
print(stack.peek())  # Output: 1

12. Implement a queue in Python.

class Queue:
    def __init__(self):
        self.items = []

    def enqueue(self, item):
        self.items.append(item)

    def dequeue(self):
        if not self.is_empty():
            return self.items.pop(0)

    def is_empty(self):
        return len(self.items) == 0

    def size(self):
        return len(self.items)

# Example usage:
queue = Queue()
queue.enqueue(1)
queue.enqueue(2)
print(queue.dequeue())  # Output: 1

13. Find the intersection of two arrays in Python.

def intersection(arr1, arr2):
    return list(set(arr1) & set(arr2))

# Example usage:
print(intersection([1, 2, 3, 4], [3, 4, 5, 6]))  # Output: [3, 4]

14. Count the occurrences of each word in a sentence in Python.

def word_count(sentence):
    words = sentence.split()
    word_count_dict = {}
    for word in words:
        if word in word_count_dict:
            word_count_dict[word] += 1
        else:
            word_count_dict[word] = 1
    return word_count_dict

# Example usage:
print(word_count("the quick brown fox jumps over the lazy dog"))  
# Output: {'the': 2, 'quick': 1, 'brown': 1, 'fox': 1, 'jumps': 1, 'over': 1, 'lazy': 1, 'dog': 1}

15. Implement a linked list in Python.

class Node:
    def

16. Find the missing number in an array containing 1 to n in Python.

def find_missing_number(nums):
    n = len(nums) + 1
    total_sum = n * (n + 1) // 2
    actual_sum = sum(nums)
    return total_sum - actual_sum

# Example usage:
print(find_missing_number([1, 2, 4, 5]))  # Output: 3

17. Check if two strings are anagrams of each other in Python.

def are_anagrams(s1, s2):
    return sorted(s1) == sorted(s2)

# Example usage:
print(are_anagrams("listen", "silent"))  # Output: True

18. Find the first non-repeating character in a string in Python.

def first_non_repeating_char(s):
    char_count = {}
    for char in s:
        if char in char_count:
            char_count[char] += 1
        else:
            char_count[char] = 1
    for char in s:
        if char_count[char] == 1:
            return char
    return None

# Example usage:
print(first_non_repeating_char("hello"))  # Output: 'h'

19. Rotate an array to the right by k steps in Python.

def rotate_array(nums, k):
    k %= len(nums)
    nums[:] = nums[-k:] + nums[:-k]

# Example usage:
nums = [1, 2, 3, 4, 5]
rotate_array(nums, 2)
print(nums)  # Output: [4, 5, 1, 2, 3]

20. Find the intersection of two linked lists in Python.

class ListNode:
    def __init__(self, val=0, next=None):
        self.val = val
        self.next = next

def get_intersection_node(headA, headB):
    pointerA, pointerB = headA, headB
    while pointerA != pointerB:
        pointerA = pointerA.next if pointerA else headB
        pointerB = pointerB.next if pointerB else headA
    return pointerA

# Example usage:
# Construct linked lists
intersect_node = ListNode(3)
intersect_node.next = ListNode(4)

headA = ListNode(1)
headA.next = ListNode(2)
headA.next.next = intersect_node

headB = ListNode(5)
headB.next = ListNode(6)
headB.next.next = intersect_node

intersection = get_intersection_node(headA, headB)
print(intersection.val)  # Output: 3

TCS NQT Coding Questions, Programing Questions Structure

Candidates can refer to the TCS NQT Programming and the TCS NQT Coding Questions Structure. Remember that, this NQT Programming Question is an essential section for the TCS NQT exam.

Moreover, TCS has introduced a Programming Logic Questions and Test section to ensure that new employees who are joining TCS have good coding knowledge. This section will have 10 questions, and you will get 15 minutes to solve them. The difficulty level is high, candidates can practice sample questions from previous TCS test papers.

Important Points:

• There is no negative marking for incorrect answers.
• The TCS NQT (National Qualifiers Test) is adaptive this year.
• You will not get any physical rough paper during the exam. Instead, a calculator and rough work area will be available on your computer screen.

The TCS NQT Coding Questions are designed to evaluate a candidate’s programming abilities. These questions cover – basic programming concepts to advanced data structures and algorithms. The difficulty level ranges from easy to highly challenging. Proper preparation by practicing coding problems is crucial to performing well in this section.

Therefore, having a strong grasp of programming fundamentals, problem-solving skills, and the ability to write clean, efficient code are key requirements. With dedicated practice and a systematic approach, candidates can improve their coding skills and increase their chances of succeeding in the TCS NQT coding round. Ultimately, this section aims to identify candidates with the necessary coding prowess for various technology roles at TCS.

Important Links – TCS NQT 2024

1. TCS NQT Eligibility Criteria 2024, Qualification, Percentage, Backlog
2. TCS NQT Apply Online 2024, Direct Application Link
3. TCS NQT Hiring Process 2024, Job Role, Salary
4. TCS NQT Salary 2024 For Freshers, In Hand Salary, Package
5. TCS NQT Registration Process 2024, Step-By-Step Process

TCS NQT Coding Question – FAQs

Hridhya Manoj

Hello, I’m Hridhya Manoj. I’m passionate about technology and its ever-evolving landscape. With a deep love for writing and a curious mind, I enjoy translating complex concepts into understandable, engaging content. Let’s explore the world of tech together