Lundbeck Interview Questions and Answers for Freshers

Q1. Knowledge about data summarisation.and some tools like Power bi and advance excel.
Add your answer

Q1. Good management &good leaning Market
Add your answer
Q2. Good work enivimont good jobs
Add your answer
Q3. Very nice job good working and
Add your answer
Q4. Good management &good job
Add your answer
Q5. Good management good work
Add your answer
Q6. Very nice job and jobs
Add your answer
Q7. Good jobs and very nice
Add your answer

Q1. Good jobs and very nice jobs
Add your answer
Q2. Very jobs nice working
Add your answer
Q3. Good good job nice job
Add your answer
Q4. Nice job good jobs g
Add your answer

Round duration - 90 minutes
Round difficulty - Hard

This was an online coding round where we were supposed to solve 2 questions under 90 minutes . Both the questions in my set were related to Graphs and were quite tricky and heavy to implement.

Q1. 
Path Counting in Directed Graph
Given a directed graph with a specified number of vertices V and edges E, your task is to calculate the total number of distinct paths from a given source node S to all ot...read more
Ans. 
Calculate the total number of distinct paths from a given source node to all other nodes in a directed graph.
• Use dynamic programming to keep track of the number of paths from the source node to each node in the graph.

• Consider using modular arithmetic to handle large numbers and prevent overflow.

• Start by initializing the number of paths from the source node to itself as 1.

• Iterate through the edges of the graph and updat...read more
Answered by AI
View 2 more answers
Q2. 
Course Schedule II Problem Statement
You are provided with a number of courses 'N', some of which have prerequisites. There is a matrix named 'PREREQUISITES' of size 'M' x 2. This matrix indicates that fo...read more
Ans. 
Given courses with prerequisites, determine a valid order to complete all courses.
• Use topological sorting to find a valid order of courses.

• Create a graph with courses as nodes and prerequisites as edges.

• Start with courses that have no prerequisites and remove them from the graph.

• Continue this process until all courses are taken or there are no valid courses left.

• If there is a cycle in the graph, it is impossible to com
Answered by AI
Add your answer

Round duration - 60 Minutes
Round difficulty - Medium

This was a Data Structures and Algorithms round with some standard questions . I was expected to come up with an
efficient approach and code it as well .

Q1. 
Merge Intervals Problem Statement
You are provided with 'N' intervals, each containing two integers denoting the start time and end time of the interval.
Your task is to merge all overlapping intervals a...read more
Ans. 
Merge overlapping intervals and return sorted list of merged intervals.
• Sort the intervals based on start times.

• Iterate through intervals and merge overlapping intervals.

• Return the merged intervals in sorted order.
Answered by AI
Add your answer
Q2. 
Longest Route Problem Statement
Given a 2-dimensional binary matrix called Mat of size N x M that consists solely of 0s and 1s, find the length of the longest path from a specified source cell to a destina...read more
Ans. 
Find the length of the longest path from a source cell to a destination cell in a binary matrix.
• Use depth-first search (DFS) to explore all possible paths from source to destination.

• Keep track of visited cells to avoid revisiting them.

• Return the length of the longest path found, or -1 if no path exists.
Answered by AI
Add your answer

Round duration - 50 Minutes
Round difficulty - Medium

This was also a DSA round where I was asked to code only one of the questions but I eventually ended up coding both
as I had some spare time and explained my approches very smoothly to the interviewer . This round went preety well .

Q1. 
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.
Answered by AI
Add your answer
Q2. 
Search In Rotated Sorted Array Problem Statement
Given a rotated sorted array ARR of size 'N' and an integer 'K', determine the index at which 'K' is present in the array.
Note:
1. If 'K' is not present...read more
Ans. 
Given a rotated sorted array, find the index of a given integer 'K'.
• Use binary search to find the pivot point where the array is rotated.

• Then perform binary search on the appropriate half of the array to find 'K'.

• Handle cases where 'K' is not present in the array by returning -1.
Answered by AI
Add your answer

Round duration - 50 Minutes
Round difficulty - Medium

This was also a DSA round with 2 questions of Medium to Hard difficulty . I was expected to follow some clean code and OOPS principles to write the code in this round .

Q1. 
Rank from Stream Problem Statement
Given an array of integers ARR and an integer K, determine the rank of the element ARR[K].
Explanation:
The rank of any element in ARR is defined as the number of elem...read more
Ans. 
Given an array and an index, find the number of elements smaller than the element at that index appearing before it in the array.
• Iterate through the array up to index K and count the number of elements smaller than ARR[K].

• Return the count as the rank of ARR[K].

• Handle edge cases like empty array or invalid index K.
Answered by AI
Add your answer
Q2. 
LRU Cache Design Question
Design a data structure for a Least Recently Used (LRU) cache that supports the following operations:
1. get(key) - Return the value of the key if it exists in the cache; otherw...read more
Ans. 
Design a Least Recently Used (LRU) cache data structure that supports get and put operations with capacity constraint.
• Implement a doubly linked list to maintain the order of recently used keys.

• Use a hashmap to store key-value pairs for quick access.

• Update the order of keys in the linked list on get and put operations.

• Evict the least recently used key when the cache reaches its capacity.
Answered by AI
Add your answer

Round duration - 45 minutes
Round difficulty - Easy

This round was telephonic round. The interview lasted for approximately 45 minutes. The interviewer asked me three coding questions. I hustled a bit on 3rd question but after a hint was able to solve it.

Round duration - 120 minutes
Round difficulty - Easy

This round was Online Test on Hackerrank for 120 minutes, it contained 3 questions.

Q1. 
LRU Cache Design Question
Design a data structure for a Least Recently Used (LRU) cache that supports the following operations:
1. get(key) - Return the value of the key if it exists in the cache; otherw...read more
Ans. 
Design a Least Recently Used (LRU) cache data structure that supports get and put operations with capacity constraint.
• Use a combination of hashmap and doubly linked list to implement the LRU cache.

• Keep track of the least recently used item and evict it when the cache reaches its capacity.

• Update the position of an item in the cache whenever it is accessed or updated.

• Handle both get and put operations efficiently to main...read more
Answered by AI
Add your answer

Round duration - 60 minutes
Round difficulty - Easy

This round was face to face Interview at Ola Campus and lasted for 1 hour.

Round duration - 35 minutes
Round difficulty - Easy

This round was again a face to face technical interview, I was just asked one question in this round.

Round duration - 30 minutes
Round difficulty - Easy

Only a question of System Design was asked

Q1. Design a toll booth system for Ola cabs and explain the necessary functions and data structures used in it.
Ans. 
Design a toll booth system for Ola cabs with necessary functions and data structures.
• Use a queue data structure to manage the order of vehicles waiting at the toll booth.

• Implement functions for vehicle entry, toll calculation, and exit.

• Store vehicle information such as license plate number, type of vehicle, and toll amount in a hash map.

• Utilize a priority queue to handle VIP or premium customers efficiently.

• Include a f...read more
Answered by AI
Add your answer

Round duration - 30 minutes
Round difficulty - Easy

Very general HR questions were asked