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I was interviewed before Nov 2023.
I applied via Approached by Company and was interviewed in Aug 2024. There were 2 interview rounds.
Leetcode hard: 1. Similar to Queens problem DP based, 2. Coin change problem
SSR renders the initial page on the server side while client rendering renders the page on the client side.
SSR improves SEO as search engines can crawl the fully rendered page on the server side.
Client rendering provides faster initial load times as only data is fetched initially and UI is rendered on the client side.
SSR is better for static content websites while client rendering is better for dynamic content websites...
I applied via Referral and was interviewed before Mar 2022. There were 3 interview rounds.
Normal to medium level aptitude questions. Easily clearable
Basic Daya structures and problem solving
posted on 14 Nov 2024
I applied via Campus Placement and was interviewed in Oct 2024. There were 4 interview rounds.
Consist 3 coding questions medium level
posted on 19 Dec 2024
I applied via Campus Placement
It was good 20 mcqs 3 coding questions
I applied via Campus Placement
Aptitude was including both MCQs and Input
Python is a high-level, interpreted language known for its simplicity and readability, while C is a low-level, compiled language known for its speed and efficiency.
Python is dynamically typed, while C is statically typed.
Python has automatic memory management, while C requires manual memory management.
Python is platform-independent, while C is platform-dependent.
Python is commonly used for web development and data anal...
C is faster than Python due to its lower-level nature and direct hardware access.
C is a compiled language, while Python is an interpreted language.
C code is directly translated into machine code, while Python code is executed line by line.
C has direct access to hardware, while Python relies on external libraries for such access.
A program to count vowels in a given name
Create a function that takes a string as input
Loop through each character in the string and check if it is a vowel (a, e, i, o, u)
Increment a counter for each vowel found
Return the total count of vowels
Quick sort is a divide-and-conquer algorithm that sorts an array by partitioning it into smaller sub-arrays.
Choose a pivot element from the array
Partition the array into two sub-arrays based on the pivot element
Recursively apply quick sort to the sub-arrays
Combine the sorted sub-arrays to get the final sorted array
Implement a linked list data structure in a programming language.
Create a Node class with data and a reference to the next node
Implement methods to add, remove, and search for elements in the linked list
Handle edge cases like adding to an empty list or removing the last element
Operations on Linked list include insertion, deletion, traversal, and searching.
Insertion: Add a new node at the beginning, end, or middle of the linked list.
Deletion: Remove a node from the linked list based on a given key or position.
Traversal: Visit each node in the linked list to perform operations or display data.
Searching: Find a specific node in the linked list based on a given key or value.
I applied via Company Website and was interviewed in May 2024. There were 2 interview rounds.
Some Objective questions and 1 Coding Questions
2 DSA questions Both are from DP
I applied via campus placement at National Institute of Technology (NIT), Warangal and was interviewed in Mar 2024. There were 3 interview rounds.
There were 3 questions in the online assessment.
1 - Binary Search
2 - DP
3 - Graphs
Implement a persistence stack with constant time operations
Use a combination of a stack and a hashmap to achieve constant time operations for push, pop, and get operations
Maintain a stack to store the elements and a hashmap to store the index of each element in the stack
When pushing an element, add it to the stack and update its index in the hashmap
When popping an element, remove it from the stack and also remove its i...
Finding the median of two sorted arrays and discussing OOPs basics
To find the median of two sorted arrays, merge the arrays and then calculate the median
OOPs basics include concepts like encapsulation, inheritance, polymorphism, and abstraction
Example: Median of [1, 3] and [2] is 2.0
Software Engineer
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