Mentor Graphics Senior Member of Technical Staff Interview Questions and Answers

Round duration - 75 minutes
Round difficulty - Medium

This was an online coding round where I had 2 questions to solve under 75 minutes. Both the coding questions were of Medium to Hard level of difficulty.

Q1. 
Smallest Window Problem Statement
Given two strings, S and X, your task is to find the smallest substring in S that contains all the characters present in X.
Example:
Input:
S = "abdd"
X = "bd"
Output:
...read more
Ans. 
Find the smallest substring in S that contains all characters in X.
• Use a sliding window approach to find the smallest substring in S that contains all characters in X.

• Keep track of the characters in X using a hashmap.

• Move the window by adjusting the start and end pointers until all characters in X are found.

• Return the smallest substring encountered.
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Q2. 
K - Sum Path In A Binary Tree
Given a binary tree where each node contains an integer value, and a value 'K', your task is to find all the paths in the binary tree such that the sum of the node values in ...read more
Ans. 
Find all paths in a binary tree where the sum of node values equals a given value 'K'.
• Traverse the binary tree using DFS and keep track of the current path and its sum.

• At each node, check if the current sum equals 'K' and add the path to the result.

• Continue traversal to the left and right child nodes recursively.

• Return the list of paths that sum up to 'K'.
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Round duration - 60 Minutes
Round difficulty - Medium

This round had 2 questions of DS/Algo to solve under 60 minutes and 2 questions related to Operating Systems.

Q1. 
Validate Partial Binary Search Tree (BST) Problem Statement
You are provided with a binary tree containing 'N' nodes. Your task is to determine if this tree is a Partial Binary Search Tree (BST). Return t...read more
Ans. 
Validate if a binary tree is a Partial Binary Search Tree (BST) by checking if each node's left subtree contains nodes with data less than or equal to the node's data, and each node's right subtree contains nodes with data greater than or equal to the node's data.
• Check if each node's left subtree follows BST property (data <= node's data) and right subtree follows BST property (data >= node's data)

• Recursively che...read more
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Q2. 
Longest Increasing Subsequence Problem Statement
Given an array of integers with 'N' elements, determine the length of the longest subsequence where each element is greater than the previous element. This...read more
Ans. 
Find the length of the longest strictly increasing subsequence in an array of integers.
• Use dynamic programming to solve this problem efficiently.

• Initialize an array to store the length of the longest increasing subsequence ending at each index.

• Iterate through the array and update the length of the longest increasing subsequence for each element.

• Return the maximum value in the array as the result.
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Q3. Can you define process and threads in operating systems?
Ans. 
Processes are instances of a program in execution, while threads are lightweight processes within a process.
• A process is a program in execution, with its own memory space and resources.

• Threads are lightweight processes within a process, sharing the same memory space and resources.

• Processes are independent of each other, while threads within the same process can communicate and share data.

• Example: A web browser running ...read more
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Q4. What are the different types of semaphores?
Ans. 
Different types of semaphores include binary semaphores, counting semaphores, and mutex semaphores.
• Binary semaphores: Can only have two states - 0 or 1. Used for mutual exclusion.

• Counting semaphores: Can have multiple states. Used for managing resources with limited capacity.

• Mutex semaphores: Similar to binary semaphores but with additional features like priority inheritance.

• Named semaphores: Can be shared between proc...read more
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Round duration - 60 Minutes
Round difficulty - Hard

In this round, I was asked 3 coding questions out of which I had to implement the first two and for the last question I was only asked the optimal approach. The main challenge in this round was to implement the first two questions in a production ready manner without any bugs and so I had to spent some time thinking about some Edge Cases which were important with respect to the question.

Q1. 
Next Greater Element Problem Statement
You are given an array arr of length N. For each element in the array, find the next greater element (NGE) that appears to the right. If there is no such greater ele...read more
Ans. 
The task is to find the next greater element for each element in an array to its right, if no greater element exists, return -1.
• Use a stack to keep track of elements for which the next greater element is not found yet.

• Iterate through the array from right to left and pop elements from the stack until a greater element is found.

• Store the next greater element for each element in a separate array.

• If the stack is empty afte...read more
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Q2. 
Power Set Generation
Given a sorted array of 'N' integers, your task is to generate the power set for this array. Each subset of this power set should be individually sorted.
A power set of a set 'ARR' i...read more
Ans. 
Generate power set of a sorted array of integers with individually sorted subsets.
• Use recursion to generate all possible subsets by including or excluding each element in the array.

• Sort each subset before adding it to the power set.

• Handle base case when all elements have been considered to add the subset to the power set.
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Q3. 
Counting Sort Problem Statement
Ninja is learning about sorting algorithms, specifically those that do not rely on comparisons. Can you help Ninja implement the counting sort algorithm?
Example:
Input:
...read more
Ans. 
Implement counting sort algorithm to sort an array of integers without comparisons.
• Count the frequency of each element in the input array.

• Create a prefix sum array to determine the position of each element in the sorted array.

• Iterate through the input array and place each element in its correct position based on the prefix sum array.

• Time complexity of counting sort is O(n+k), where n is the number of elements and k is
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Medium coding qs with technical interview

Q1. Reverse an array
Ans. 
Reverse an array of strings
• Create a new array and iterate through the original array in reverse order, adding each element to the new array

• Use built-in array methods like reverse() or spread operator for a more concise solution

• Ensure to handle edge cases like empty array or null values
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Topics: maps, sorting and simple DSA question

Q1. What is linked list? How it is stored in memory? Give real examples of linked-list.
Ans. 
A linked list is a data structure where each element points to the next element in the sequence.
• Linked list is stored in memory as nodes, where each node contains data and a reference to the next node.

• Examples of linked-list include a singly linked list, doubly linked list, and circular linked list.

• In a singly linked list, each node points to the next node. In a doubly linked list, each node points to both the next and
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Q2. How does ML models are built?
Ans. 
ML models are built by collecting and preparing data, selecting a model, training the model on the data, and evaluating its performance.
• Collect and prepare data by cleaning, transforming, and encoding it

• Select a model based on the problem at hand (e.g. regression, classification, clustering)

• Train the model using algorithms like linear regression, decision trees, or neural networks

• Evaluate the model's performance using ...read more
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Q3. Difference between array and linked list.
Ans. 
Arrays store elements in contiguous memory locations, while linked lists store elements in nodes with pointers to the next node.
• Arrays have fixed size, while linked lists can dynamically grow or shrink.

• Accessing elements in arrays is faster (O(1)), while accessing elements in linked lists is slower (O(n)).

• Inserting or deleting elements in arrays can be inefficient, as it may require shifting elements, while in linked l...read more
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Q1. Given string s, return string y which stores first occurrence of characters of s .
Ans. 
Return a string containing the first occurrence of characters in the input string.
• Create an empty string to store the result.

• Iterate through each character in the input string.

• If the character is not already in the result string, add it to the result string.

• Return the result string.
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Q2. Describe the hardest DSA questions you have ever done.
Ans. 
One of the hardest DSA questions I have done involved implementing a complex graph traversal algorithm.
• The question required understanding of graph data structures and algorithms.

• I had to implement a depth-first search or breadth-first search algorithm.

• The question may have involved finding the shortest path in a weighted graph.

• I had to consider edge cases and optimize the algorithm for efficiency.
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Q1. What are your hobbies, plans for future after 5 years?
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Aptitude Java CI/CD DevOps Unit testing HTML CSS

Q1. Technical questions same as above Puzzles to assess problem solving abilities
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Q1. General questions around CTC and expectations
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Q1. Tell us about your projects
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Q2. Write function to find factorial of number
Ans. 
Function to find factorial of a number
• Create a function that takes a number as input

• Use a loop to multiply the number by decreasing integers until reaching 1

• Return the final result as the factorial of the input number
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The duration of the test is total 3 hour and there are total 50 questions camara and mic is always on please dont switch the window durinf the test