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posted on 29 Mar 2024
Codility Test - 2 Medium LC type questions
posted on 2 May 2024
posted on 20 May 2024
I was interviewed before May 2023.
posted on 6 Sep 2024
I applied via Walk-in and was interviewed before Sep 2023. There were 4 interview rounds.
Data Structures and Algorithms - Easy
Code a chineese pebble game
Two entities for cross site sale promotion are affiliate marketing platform and customer loyalty program.
Affiliate marketing platform: Allows businesses to partner with affiliates who promote their products on their own websites in exchange for a commission.
Customer loyalty program: Rewards customers for repeat purchases or other actions, encouraging them to continue shopping with the brand.
posted on 4 Nov 2024
I applied via Company Website and was interviewed in May 2024. There was 1 interview round.
The interviewer was a team Lead Engineer. He first asked me a few questions about database fundamentals (Cluster Index, Composite Index, ACID, etc). Then he presented me with a coding question on codility (LC Hard String question). He was very helpful during the interview and nudged me towards the right direction when I got stuck.
posted on 14 Oct 2023
Usually medium LC questions
Design a snakes and ladder game with a board, dice, and player pieces.
Create a game board with squares numbered from 1 to 100.
Place snakes and ladders on specific squares to move players up or down.
Players roll a dice to move their pieces on the board.
The first player to reach square 100 wins the game.
posted on 5 Apr 2024
I applied via Approached by Company and was interviewed before Apr 2023. There were 4 interview rounds.
You need to write code as algorithm for the given problem
You will need a end to end architecture and details , along with problem solving skillset
Hackerrank was used for test
Implement BFS algorithm to find the nearest neighbour
Create a queue to store nodes to be visited
Start with the initial node and add it to the queue
While the queue is not empty, dequeue a node, visit its neighbours, and add them to the queue
Repeat until the nearest neighbour is found
Priority queue can be implemented using a heap data structure.
Create a min heap or max heap based on the priority order needed.
Insert elements into the heap based on their priority level.
Remove elements from the heap based on their priority level.
Heapify the heap after each insertion or deletion operation.
Example: Implementing a min heap for a priority queue where lower values have higher priority.
I was interviewed before Sep 2020.
Round duration - 60 minutes
Round difficulty - Easy
Round duration - 50 minutes
Round difficulty - Easy
Round duration - 60 minutes
Round difficulty - Easy
At the beginning of this round, the interviewer asked me about the data structures I knew. Linked lists, trees, graphs, arrays etc. was my answer. He asked me how well I knew Dynamic Programming. I said I wasn’t strong in that and he said that he would ask me a question on dynamic programming for sure.
Round duration - 40 minutes
Round difficulty - Easy
The interviewer asked me if I was comfortable with the interview process so far and how the previous interviews were. I said it was good and he gave me the first problem to solve.
Round duration - 60 minutes
Round difficulty - Easy
The interviewer asked me some Computer Science fundamentals in this round as well as some behavioural questions.
Implement a Trie data structure with insert and search functions.
Create a TrieNode class with children and isEndOfWord attributes.
Implement insert function to add words by iterating through characters.
Implement search function to check if a word exists by traversing the Trie.
Example: Insert 'apple', 'banana', 'orange' and search for 'apple' and 'grape'.
Do lot of hard work and practice of Data Structures and Algorithms based questions. I personally recommend you Coding Ninjas and Geeks For Geeks for interview preparation.
Application resume tips for other job seekersMake your resume short and try to make it of one page only and do mention all your skills which you are confident of in your resume.
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