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Nexus Senior Software Engineer 2 Interview Questions, Process, and Tips

Updated 9 Nov 2024

Nexus Senior Software Engineer 2 Interview Experiences

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Senior Software Engineer 2 Interview Questions & Answers

user image pothuganti usharani

posted on 9 Nov 2024

Interview experience
4
Good
Difficulty level
-
Process Duration
-
Result
-
Round 1 - Technical 

(5 Questions)

  • Q1. Difference between kernel and OS
  • Ans. 

    Kernel is the core part of an operating system that manages system resources, while OS is the entire operating system including kernel and other components.

    • Kernel is the central component of an operating system responsible for managing resources such as memory, CPU, and I/O.

    • OS includes the kernel along with other components like user interface, system utilities, and applications.

    • Examples of kernels include Linux kernel...

  • Answered by AI
  • Q2. What are Kernel types
  • Ans. 

    Kernel types are the different types of kernels used in operating systems.

    • Monolithic kernel: all operating system services run in kernel space

    • Microkernel: minimal kernel with most services running in user space

    • Hybrid kernel: combines features of both monolithic and micro kernels

  • Answered by AI
  • Q3. Explain nic bonding
  • Ans. 

    NIC bonding, also known as network interface card bonding, is a technique used to combine multiple network interfaces into a single virtual interface for increased bandwidth and redundancy.

    • NIC bonding is used to increase network bandwidth by aggregating multiple network interfaces together.

    • It also provides redundancy in case one network interface fails, ensuring continuous network connectivity.

    • There are different bondi...

  • Answered by AI
  • Q4. What is lvm and how manypartitions we can create
  • Ans. 

    LVM stands for Logical Volume Manager. It is a tool used to manage disk space by creating logical volumes from physical volumes.

    • LVM allows for dynamic resizing of logical volumes without the need to unmount the filesystem.

    • It can create multiple logical volumes from a single physical volume.

    • LVM provides features like snapshots and mirroring for data protection.

    • The number of partitions that can be created using LVM depen...

  • Answered by AI
  • Q5. What you will do for /boot is full
  • Ans. 

    To address a full /boot partition, remove unnecessary files, uninstall old kernels, and increase partition size if needed.

    • Delete unnecessary files in /boot directory

    • Uninstall old kernels to free up space

    • Increase the size of the /boot partition if necessary

  • Answered by AI

Skills evaluated in this interview

Interview questions from similar companies

I appeared for an interview in Aug 2017.

Interview Questionnaire 

7 Questions

  • Q1. Implement Merge Sort.
  • Ans. 

    Merge Sort is a divide and conquer algorithm that sorts an array by dividing it into two halves, sorting them separately, and then merging the sorted halves.

    • Divide the array into two halves

    • Recursively sort the two halves

    • Merge the sorted halves

  • Answered by AI
  • Q2. Given a BST containing distinct integers, and a number ‘X’, find all pairs of integers in the BST whose sum is equal to ‘X’.
  • Ans. 

    Find pairs of integers in a BST whose sum is equal to a given number.

    • Traverse the BST and store the values in a hash set.

    • For each node, check if (X - node.value) exists in the hash set.

    • If yes, add the pair (node.value, X - node.value) to the result.

    • Continue traversal until all nodes are processed.

  • Answered by AI
  • Q3. Given a set of time intervals in any order, merge all overlapping intervals into one and output the result which should have only mutually exclusive intervals.
  • Ans. 

    Merge overlapping time intervals into mutually exclusive intervals.

    • Sort the intervals based on their start time.

    • Iterate through the intervals and merge overlapping intervals.

    • Output the mutually exclusive intervals.

    • Example: [(1,3), (2,6), (8,10), (15,18)] -> [(1,6), (8,10), (15,18)]

  • Answered by AI
  • Q4. What are the different types of hashing? Suggest an alternative and a better way for Linear Chaining.
  • Ans. 

    Different types of hashing and alternative for Linear Chaining

    • Different types of hashing include division, multiplication, and universal hashing

    • Alternative for Linear Chaining is Open Addressing

    • Open Addressing includes Linear Probing, Quadratic Probing, and Double Hashing

  • Answered by AI
  • Q5. Implement AVL Tree.
  • Ans. 

    An AVL tree is a self-balancing binary search tree where the heights of the left and right subtrees differ by at most one.

    • AVL tree is a binary search tree with additional balance factor for each node.

    • The balance factor is the difference between the heights of the left and right subtrees.

    • Insertion and deletion operations in AVL tree maintain the balance factor to ensure the tree remains balanced.

    • Rotations are performed ...

  • Answered by AI
  • Q6. Minimum number of squares whose sum equals to given number n.
  • Ans. 

    Find the minimum number of squares whose sum equals to a given number n.

    • Use dynamic programming to solve the problem efficiently.

    • Start with finding the square root of n and check if it is a perfect square.

    • If not, then try to find the minimum number of squares required for the remaining number.

    • Repeat the process until the remaining number becomes 0.

    • Return the minimum number of squares required for the given number n.

  • Answered by AI
  • Q7. Insertion sort for a singly linked list.
  • Ans. 

    Insertion sort for a singly linked list.

    • Traverse the list and compare each node with the previous nodes

    • If the current node is smaller, swap it with the previous node

    • Repeat until the end of the list is reached

    • Time complexity is O(n^2)

  • Answered by AI

Interview Preparation Tips

Round: Test
Experience: There were 2 coding questions (no penalty for wrong submission) and 20 Multiple Choice Questions(with negative marking). We were given 90 minutes to solve them. MCQs were based on Data Structures, OS, CN, C outputs, OOP etc.
Tips: Experience in Competitive Programming might help in solving coding questions. No constraints were mentioned and detailed Instructions related to problem were stated vaguely. So code carefully.
Duration: 1 hour 30 minutes
Total Questions: 22

Round: Technical Interview
Experience: The interviewer asked me to introduce myself and a brief introduction of the projects that I have done. She first asked me questions related to my project. After that she moved on to the data structures part.
Tips: Take your time to approach the problems and if the question is not clear ask the interviewer to explain it again.

Round: Technical Interview
Experience: The interviewer asked me about how my previous round went. After that, he asked me to introduce myself and a brief introduction of the projects that I have done. He first asked me a few questions related to my project. Then he moved on to the data structures part. In this round the interviewer gave me strict time limit for coding the solution on paper for each problem and as soon as I was done coding he gave me 2-3 minutes every time to find errors and debug my code.
Tips: Do not panic even if the interviewer sets time limit while solving problems. If the question is not clear ask the interviewer to explain it again.

College Name: The LNM Institute Of Information Technology, Jaipur

Skills evaluated in this interview

I applied via Recruitment Consultant and was interviewed before Jul 2020. There was 1 interview round.

Interview Questionnaire 

1 Question

  • Q1. DS Algo Questions on Trees. Leadership Principles

Interview Preparation Tips

Interview preparation tips for other job seekers - Read up on DS Algo and white paper coding and Leadership Principles

Interview Questionnaire 

1 Question

  • Q1. What do u want us to do fr u??
  • Ans. 

    I want you to provide me with challenging software development projects that will help me grow as a developer.

    • Challenging projects that will push my skills to the limit

    • Opportunities to learn new technologies and programming languages

    • Collaborative work environment with experienced developers

    • Clear communication and feedback on my work

    • Opportunities for career growth and advancement

  • Answered by AI

Interview Preparation Tips

Round: Technical Interview
Experience: Pay me high!!
Tips: Never say something like that!!

Skill Tips: Develop codes
Skills: Programming
College Name: IIT BOMBAY

I appeared for an interview before Jan 2021.

Round 1 - Face to Face 

(3 Questions)

Round duration - 60 Minutes
Round difficulty - Medium

This was a typical DS/Algo where I was asked to solve two questions related to Binary Trees and write the pseudo code for both of them followed by some theoretical questions related to Operating Systems.

  • Q1. 

    K-th Largest Number in a BST

    Given a binary search tree (BST) consisting of integers and containing 'N' nodes, your task is to find and return the K-th largest element in this BST.

    If there is no K-th la...

  • Ans. 

    Find the K-th largest element in a BST.

    • Perform reverse in-order traversal of the BST to find the K-th largest element.

    • Keep track of the count of visited nodes to determine the K-th largest element.

    • Return -1 if there is no K-th largest element in the BST.

  • Answered by AI
  • Q2. 

    Is Height Balanced Binary Tree Problem Statement

    Determine if the given binary tree is height-balanced. A tree is considered height-balanced when:

    1. The left subtree is balanced.
    2. The right subtree is bala...
  • Ans. 

    Determine if a given binary tree is height-balanced by checking if left and right subtrees are balanced and their height difference is at most 1.

    • Check if the left subtree is balanced

    • Check if the right subtree is balanced

    • Calculate the height difference between the left and right subtrees

    • Return 'True' if all conditions are met, otherwise return 'False'

  • Answered by AI
  • Q3. Can you explain the concepts of Zombie Process and Orphan Process in operating systems?
  • Ans. 

    Zombie process is a terminated process that has completed execution but still has an entry in the process table. Orphan process is a process whose parent process has terminated.

    • Zombie process is created when a child process completes execution but its parent process has not yet read its exit status.

    • Zombie processes consume system resources and should be cleaned up by the parent process using wait() system call.

    • Orphan p...

  • Answered by AI
Round 2 - Face to Face 

(3 Questions)

Round duration - 60 Minutes
Round difficulty - Medium

This was also a Data Structures and Algorithm round where I was asked to solve 3 medium to hard level problems along with their pseudo code within 60 minutes .

  • Q1. 

    Longest Substring Without Repeating Characters Problem Statement

    Given a string S of length L, determine the length of the longest substring that contains no repeating characters.

    Example:

    Input:
    "abac...
  • Ans. 

    Find the length of the longest substring without repeating characters in a given string.

    • Use a sliding window approach to keep track of the longest substring without repeating characters.

    • Use a hashmap to store the index of each character in the string.

    • Update the start index of the window when a repeating character is found.

    • Calculate the maximum length of the window as you iterate through the string.

    • Return the maximum le

  • Answered by AI
  • Q2. 

    Problem: Search In Rotated Sorted Array

    Given a sorted array that has been rotated clockwise by an unknown amount, you need to answer Q queries. Each query is represented by an integer Q[i], and you must ...

  • Ans. 

    Search for integers in a rotated sorted array efficiently.

    • Use binary search to efficiently search for integers in the rotated sorted array.

    • Handle the rotation of the array while performing binary search.

    • Return the index of the integer if found, else return -1.

  • Answered by AI
  • Q3. 

    Count Subarrays with Sum Divisible by K

    Given an array ARR and an integer K, your task is to count all subarrays whose sum is divisible by the given integer K.

    Input:

    The first line of input contains an...
  • Ans. 

    Count subarrays with sum divisible by K in an array.

    • Iterate through the array and keep track of the prefix sum modulo K.

    • Use a hashmap to store the frequency of each prefix sum modulo K.

    • For each prefix sum, increment the count by the frequency of (prefix sum - K) modulo K.

    • Handle the case when prefix sum itself is divisible by K.

    • Return the total count of subarrays with sum divisible by K.

  • Answered by AI
Round 3 - Face to Face 

(2 Questions)

Round duration - 50 Minutes
Round difficulty - Medium

In this round , I was asked to code a simple question related to BST . After that I was asked the internal implementation of a Hash Map where I was supposed to design a Hash Map using any of the Hashing Algorithms that I know . This was preety challenging for me but I got to learn so much from it.

  • Q1. 

    Ceil Value from BST Problem Statement

    Given a Binary Search Tree (BST) and an integer, write a function to return the ceil value of a particular key in the BST.

    The ceil of an integer is defined as the s...

  • Ans. 

    Ceil value of a key in a Binary Search Tree (BST) is found by returning the smallest integer greater than or equal to the given number.

    • Traverse the BST to find the closest value greater than or equal to the key.

    • Compare the key with the current node value and update the ceil value accordingly.

    • Recursively move to the left or right subtree based on the comparison.

    • Return the ceil value once the traversal is complete.

  • Answered by AI
  • Q2. 

    Design a Constant Time Data Structure

    Create a data structure that maintains mappings between keys and values, supporting the following operations in constant time:

    1. INSERT(key, value): Add or update t...
  • Ans. 

    Design a constant time data structure to maintain mappings between keys and values with various operations.

    • Use a hash table to achieve constant time complexity for INSERT, DELETE, SEARCH, and GET operations.

    • Keep track of the number of key-value pairs for GET_SIZE operation.

    • Check if the hash table is empty for IS_EMPTY operation.

    • Return true or false for SEARCH operation based on key existence.

    • Return the value associated...

  • Answered by AI

Interview Preparation Tips

Eligibility criteriaAbove 7 CGPAFlipkart interview preparation:Topics to prepare for the interview - Data Structures, Algorithms, System Design, Aptitude, OOPSTime required to prepare for the interview - 4 MonthsInterview preparation tips for other job seekers

Tip 1 : Must do Previously asked Interview as well as Online Test Questions.
Tip 2 : Go through all the previous interview experiences from Codestudio and Leetcode.
Tip 3 : Do at-least 2 good projects and you must know every bit of them.

Application resume tips for other job seekers

Tip 1 : Have at-least 2 good projects explained in short with all important points covered.
Tip 2 : Every skill must be mentioned.
Tip 3 : Focus on skills, projects and experiences more.

Final outcome of the interviewSelected

Skills evaluated in this interview

I appeared for an interview before Jan 2021.

Round 1 - Coding Test 

(3 Questions)

Round duration - 90 Minutes
Round difficulty - Hard

I found the online coding round of Flipkart to be quite difficult based on the constraints of the problem and their time limits. I coded the first problem quite easily but on the second and the third problem , my code could only pass a few test cases and gave TLE for most of them. Both the questions required very efficient solution and the last 5 to 10 Test Cases carried more weight than the rest so I didn't get through this round.

  • Q1. 

    Print the Kth Digit

    Given three non-negative integers N, M, and K, compute the Kth digit from the right in the number obtained from N raised to the power M (i.e., N ^ M).

    Input:

    The first line contains ...
  • Ans. 

    The task is to find the Kth digit from the right in the number obtained from N raised to the power M.

    • Iterate through the digits of N^M from right to left

    • Keep track of the position of the current digit

    • Return the digit at position K from the right

  • Answered by AI
  • Q2. 

    The Skyline Problem

    Compute the skyline of given rectangular buildings in a 2D city, eliminating hidden lines and forming the outer contour of the silhouette when viewed from a distance. Each building is ...

  • Ans. 

    Compute the skyline of given rectangular buildings in a 2D city, eliminating hidden lines and forming the outer contour of the silhouette.

    • Iterate through the buildings and create a list of critical points (x, y) where the height changes.

    • Sort the critical points based on x-coordinate and process them to form the skyline.

    • Merge consecutive horizontal segments of equal height into one to ensure no duplicates.

    • Return the fin...

  • Answered by AI
  • Q3. 

    Longest Palindromic Substring Problem Statement

    You are provided with a string STR of length N. The goal is to identify the longest palindromic substring within this string. In cases where multiple palind...

  • Ans. 

    Identify the longest palindromic substring in a given string.

    • Iterate through the string and expand around each character to find palindromes

    • Keep track of the longest palindrome found

    • Return the longest palindrome with the smallest start index

  • Answered by AI

Interview Preparation Tips

Eligibility criteriaAbove 7 CGPAFlipkart interview preparation:Topics to prepare for the interview - Data Structures, Algorithms, System Design, Aptitude, OOPSTime required to prepare for the interview - 3 monthsInterview preparation tips for other job seekers

Tip 1 : Must do Previously asked Interview as well as Online Test Questions.
Tip 2 : Go through all the previous interview experiences from Codestudio and Leetcode.
Tip 3 : Do at-least 2 good projects and you must know every bit of them.

Application resume tips for other job seekers

Tip 1 : Have at-least 2 good projects explained in short with all important points covered.
Tip 2 : Every skill must be mentioned.
Tip 3 : Focus on skills, projects and experiences more.

Final outcome of the interviewRejected

Skills evaluated in this interview

Interview Questionnaire 

2 Questions

  • Q1. Data struct,algo,
  • Q2. High level data structs and algos

Interview Preparation Tips

Round: Problem Statement
Experience: coding and submission before face to face interview shortlisting
Tips: practice coding ,coding is key to success for SE

Round: Resume Shortlist
Experience: based on marks ,I was called for F2F
Tips: the ppt was to be submitted explaining the approach

Round: Technical Interview
Experience: a lot of brain storming
Tips: understands the nitty gritty of the structs and algos

Round: Technical Interview
Experience: exact code was to be written instead of pseudo code
Tips: get hold of DS,Algos

I appeared for an interview before Sep 2016.

Interview Questionnaire 

5 Questions

  • Q1. Search an element in sorted rotated array.
  • Ans. 

    Search an element in sorted rotated array.

    • Use binary search to find the pivot point where the array is rotated.

    • Divide the array into two subarrays and perform binary search on the appropriate subarray.

    • Handle the cases where the target element is at the pivot point or not present in the array.

  • Answered by AI
  • Q2. Kth largest element in an array.
  • Ans. 

    Find the Kth largest element in an array.

    • Sort the array in descending order and return the element at index K-1.

    • Use a max heap to find the Kth largest element efficiently.

    • Implement a quickselect algorithm to find the Kth largest element in linear time.

  • Answered by AI
  • Q3. Reverse a linked list in group of n element.
  • Ans. 

    Reverse a linked list in groups of n elements.

    • Divide the linked list into groups of n elements.

    • Reverse each group individually.

    • Connect the reversed groups to form the final linked list.

    • Handle cases where the number of elements is not a multiple of n.

    • Example: 1->2->3->4->5->6->7->8, n=3 -> 3->2->1->6->5->4->8->7

  • Answered by AI
  • Q4. Median of two sorted array.
  • Ans. 

    Find the median of two sorted arrays.

    • Merge the two arrays into one sorted array and find the median.

    • Use binary search to find the median in O(log(min(m, n))) time complexity.

    • Handle edge cases like empty arrays or arrays of different lengths.

  • Answered by AI
  • Q5. It was a DP question. In a matrix, I have to count number of paths from (0, 0) to (m, n) while crossing through some indexes were not allowed.
  • Ans. 

    Count number of paths from (0, 0) to (m, n) in a matrix while crossing through some indexes were not allowed.

    • Use dynamic programming to solve the problem

    • Create a 2D array to store the number of paths

    • Traverse the matrix and update the array based on the allowed paths

    • Return the value at the last index of the array

  • Answered by AI

Interview Preparation Tips

Round: Technical Interview
Experience: Interviewer was mainly focused on problem solving skill.

College Name: KIIT University

Skills evaluated in this interview

I appeared for an interview in Aug 2017.

Interview Preparation Tips

Round: Test
Experience: Platform: Hackerearth
20 MCQs with negative marking, topics included OS, DS-Algo, Networking.
2 Programming Problems.
Duration: 1 hour 30 minutes
Total Questions: 22

Round: Technical Interview
Experience: 3 DS-Algo problems were asked. Made to written codes on paper.

Round: Technical Interview
Experience: 2 DS-Algo problems were asked. Made to written codes on paper.
Few OS questions were also asked.

Skills: Data Structures and Algorithms, Operating Systems
College Name: IIT (BHU)

Interview Questionnaire 

6 Questions

  • Q1. Given a Linked list , print yes if it is palindrome else print no
  • Q2. Print the level order traversal of the binary tree in the spiral form
  • Ans. 

    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

  • Answered by AI
  • Q3. Maximum of all subarrays of size k(Expected Time Complexity O(N). Input : arr[] = {1, 2, 3, 1, 4, 5, 2, 3, 6} k = 3 Output : 3 3 4 5 5 5 6
  • Ans. 

    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.

  • Answered by AI
  • Q4. Given Two sorted array of size size n each. Find the Kth largest element in these two array (Expected Time Complexity Log(n))
  • Ans. 

    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.

  • Answered by AI
  • Q5. Website having several web-pages. And also there are lot many user who are accessing the web-site. say user 1 has access pattern : x->y->z->a->b->c->d->e->f user 2 has access pattern : z->a->b->c->d user 3...
  • Q6. Given two array , one of size m+n and contains m element and other position are empty , 2nd array is of size n and contains n element. both array are sorted , now merge the second array to first one such t...
  • Ans. 

    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.

  • Answered by AI

Interview Preparation Tips

Round: Test
Duration: 90 minutes

Skills: Algorithm , OS, DBMS, data structure
College Name: NIT BHOPAL

Skills evaluated in this interview

Nexus Interview FAQs

How many rounds are there in Nexus Senior Software Engineer 2 interview?
Nexus interview process usually has 1 rounds. The most common rounds in the Nexus interview process are Technical.
What are the top questions asked in Nexus Senior Software Engineer 2 interview?

Some of the top questions asked at the Nexus Senior Software Engineer 2 interview -

  1. What is lvm and how manypartitions we can cre...read more
  2. What you will do for /boot is f...read more
  3. What are Kernel ty...read more

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Nexus Senior Software Engineer 2 Interview Process

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