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I applied via Referral and was interviewed in May 2022. There were 2 interview rounds.
LRU cache is a data structure that stores the most recently used items and discards the least recently used items.
Use a hash table to store key-value pairs
Use a doubly linked list to keep track of the order of items
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 back of the list
Lookup and insertion should be O(1) time complexity
I was interviewed in Dec 2024.
I applied via Company Website and was interviewed in Oct 2024. There were 2 interview rounds.
1 hour duration. Sliding window problem. On hacker rank platform. Expected to write a working code and solve it optimally/scalable solution.
I applied via Cutshort
Medium DSA questions
I applied via Referral and was interviewed in Apr 2024. There were 5 interview rounds.
2 dsa questions of easy/medium
Two pointer and sliding window
To delete the nth node from the end in a linked list, we can use a two-pointer approach.
Use two pointers, one to traverse the list and another to keep track of the nth node from the end.
Move the second pointer n steps ahead of the first pointer.
When the second pointer reaches the end of the list, the first pointer will be at the nth node from the end.
Adjust the pointers to delete the nth node.
I applied via Internshala and was interviewed in Dec 2023. There were 2 interview rounds.
Easy to medium, can solve with leetcode medium
Count the number of islands in a grid of '1's and '0's
Iterate through the grid and for each '1' encountered, perform a depth-first search to mark all connected '1's as visited
Increment the island count for each new island found
Ensure to handle boundary cases and check for visited nodes
Find the first and last index of a specific element in an array of strings.
Iterate through the array and keep track of the index of the first and last occurrence of the element.
Return the first and last index once the iteration is complete.
Example: Array ['apple', 'banana', 'apple', 'orange'], element 'apple' - First index: 0, Last index: 2.
Business Development Manager
46
salaries
| ₹5 L/yr - ₹15 L/yr |
Key Account Manager
33
salaries
| ₹3.9 L/yr - ₹13.5 L/yr |
Assistant Manager
28
salaries
| ₹5 L/yr - ₹12 L/yr |
Senior Manager
19
salaries
| ₹12 L/yr - ₹24 L/yr |
Customer Success Associate
12
salaries
| ₹3.3 L/yr - ₹5 L/yr |
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