Kanti Power Solutions Interview Questions and Answers

Improving quality of education in India

• Investing in teacher training and development

• Increasing access to technology and digital resources

• Encouraging parental involvement in education

• Promoting vocational education and skill development

• Addressing the issue of inadequate infrastructure and resources

I know multiple programming languages including Java, Python, and C++.

• Proficient in Java with experience in developing web applications using Spring framework

• Familiar with Python for data analysis and machine learning

• Experience in C++ for developing high-performance applications

• Also familiar with HTML, CSS, and JavaScript for front-end development

Class is a blueprint for creating objects, encapsulation is the process of hiding data and methods within a class.

• Class is a template or blueprint that defines the properties and behaviors of an object.

• Encapsulation is the process of bundling data and methods together within a class, hiding the internal details from the outside world.

• Other features of OOP include inheritance, polymorphism, and abstraction.

• Inheritance a...read more

Program to find the sum of squares of each term of Fibonacci series

• Generate Fibonacci series using loop or recursion

• Calculate square of each term

• Add all squares to get the sum

I would like to join Cognizant because of its reputation as a leading global technology and consulting company.

• Cognizant has a strong presence in the industry and is known for its innovative solutions.

• I am impressed by Cognizant's commitment to digital transformation and its ability to deliver value to clients.

• The company offers excellent career growth opportunities and a supportive work environment.

• Cognizant's diverse...read more

Print the level order traversal of binary tree in spiral form

• Perform level order traversal of the binary tree

• Alternate the direction of traversal for each level

• Use a stack to reverse the order of nodes in each level

• Print the nodes in the order of traversal

Find the maximum element in each subarray of size k in a given array.

• Iterate through the array from index 0 to n-k.

• For each subarray of size k, find the maximum element.

• Store the maximum elements in a separate array.

• Return the array of maximum elements.

To find the Kth largest element in two sorted arrays, we can use the merge step of merge sort algorithm.

• Merge the two arrays into a single sorted array using a modified merge sort algorithm.

• Return the Kth element from the merged array.

Merge two sorted arrays into one sorted array with expected time complexity of (m+n).

• Use a two-pointer approach to compare elements from both arrays and merge them into the first array.

• Start comparing elements from the end of both arrays and place the larger element at the end of the first array.

• Continue this process until all elements from the second array are merged into the first array.