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Coding round has two questions ranging in medium -hard level leetcode questions
Longest Common Subsequence is the longest sequence of characters that appear in the same order in both strings.
Use dynamic programming to solve this problem efficiently.
Create a 2D array to store the lengths of longest common subsequences.
Iterate through the strings to fill the array and find the longest common subsequence.
The largest area in a histogram refers to the rectangle with the maximum area that can be formed within the histogram bars.
Identify the largest rectangle that can be formed by considering each bar as a potential height and calculating the area based on the width of the rectangle.
Use a stack data structure to efficiently find the largest area in a histogram by keeping track of the indices of the bars in non-decreasing o...
There was only two coding questions in 50 minutes interview
I applied via Naukri.com and was interviewed in Oct 2023. There were 2 interview rounds.
Leetcode medium question
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The aptitude test consist of 50 questions which was simple and mixed if all concepts
Only one easy coding question
I applied via LinkedIn and was interviewed in Feb 2024. There were 4 interview rounds.
Merge sort is a divide and conquer algorithm that recursively splits an array into halves, sorts them, and then merges them back together.
Merge sort is efficient for sorting large arrays.
It has a time complexity of O(n log n).
It is a stable sorting algorithm.
Example: ['apple', 'banana', 'orange', 'grape', 'kiwi']
The winner leetcode problem involves finding the candidate with the most votes in an election scenario.
Iterate through the list of candidates and keep track of their votes
Return the candidate with the highest number of votes
Example: Input - ['Alice', 'Bob', 'Alice', 'Charlie', 'Bob'], Output - 'Alice'
2 medium level leet code question.
It had 9 uqestions , one problem solving , one SQL , one API and 6 mcq
Easy assignment , if you hav eOOps knowledge you can do it
Cricbuzz system design involves handling real-time sports data, user traffic, and providing live scores, news, and updates.
Use microservices architecture to handle different functionalities like live scores, news, and updates.
Implement caching mechanisms to reduce load on servers and improve performance.
Utilize a distributed database to store large amounts of sports data efficiently.
Implement a robust notification syst...
based on 3 interviews
2 Interview rounds
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