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3 question for 3 hrs , 2 medium and 1 hard level typr
The minimum cost of rope cutting involves dynamic programming to find the optimal solution.
Use dynamic programming to find the optimal solution
Consider the cost of cutting at each possible point
Keep track of the minimum cost as you iterate through the rope
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The exam duration is one and a half hours.
The total exam time is one and a half hours.
It encompasses all topics related to full stack development.
In two years, I see myself as a senior software developer leading a team on innovative projects.
Advancing to a senior software developer role
Leading a team on new and innovative projects
Continuing to enhance my technical skills through ongoing learning and training
LRU Cache is a data structure that maintains a list of items in order of most recently used to least recently used.
Implement using a doubly linked list and a hashmap for efficient operations
When an item is accessed, move it to the front of the list
When the cache is full, remove the least recently used item from the end of the list
I applied via campus placement at Netaji Subhas Institute of Technology (NSIT) and was interviewed in Jul 2024. There were 4 interview rounds.
It was a coding round where i need to solve 3 DSA Questions in 1.5 hour
BFS Implementation of a jug question.
I applied via campus placement at RV College Of Engineering (RVCE) and was interviewed in Aug 2024. There were 2 interview rounds.
3 Medium level dsa questions
The Low Level Design (LLD) of a cab booking system involves detailing the system architecture and components at a lower level of abstraction.
Identify the main components of the system such as user interface, booking engine, payment gateway, and driver allocation algorithm.
Define the interactions between these components and how data flows between them.
Specify the data structures and algorithms used for efficient bookin...
Find the sum of kth to bth largest numbers in a huge array efficiently.
Sort the array in descending order to easily find the kth and bth largest numbers.
Use a priority queue or min heap to efficiently find the kth and bth largest numbers without sorting the entire array.
Once you have the kth and bth largest numbers, iterate through the array and sum the numbers between them.
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