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I applied via Naukri.com
Basic aptitude questions were asked in this round
A database is a structured collection of data that is organized and managed to provide efficient retrieval and storage.
A database is a software system that stores and manages data.
It provides a way to organize and structure data for easy retrieval and manipulation.
Databases can be relational, object-oriented, or hierarchical.
Examples of databases include MySQL, Oracle, and MongoDB.
Quick sort is a sorting algorithm that uses a divide-and-conquer approach to sort an array of elements.
It selects a pivot element and partitions the array into two sub-arrays, one with elements smaller than the pivot and the other with elements greater than the pivot.
The process is repeated recursively on the sub-arrays until the entire array is sorted.
It has an average time complexity of O(n log n) and is widely used
I am currently located in New York City.
New York City
USA
East Coast
Manhattan
I applied via Naukri.com and was interviewed in Oct 2023. There were 4 interview rounds.
Basic apti questions were asked
Sorting is the process of arranging elements in a specific order, typically ascending or descending.
Sorting is used to organize data for easier retrieval and analysis.
Common sorting algorithms include bubble sort, insertion sort, and quicksort.
Sorting can be done on various data structures, such as arrays, lists, and trees.
Example: Sorting an array of strings alphabetically.
A database is a structured collection of data that is organized and managed to provide efficient retrieval and storage.
A database is a software system that stores and manages data.
It provides a way to organize and structure data for easy retrieval and manipulation.
Databases can be relational, object-oriented, or hierarchical, depending on the data model used.
Examples of databases include MySQL, Oracle, and MongoDB.
My expectation is to work in a challenging and dynamic environment where I can utilize my skills and knowledge to contribute to the success of the organization.
To work with a team of talented professionals
Opportunities for professional growth and development
A supportive and collaborative work culture
Clear communication and expectations from management
A fair and competitive compensation package
I applied via LinkedIn and was interviewed in Jan 2023. There were 3 interview rounds.
It was hard test and very tough
Coding was very hard bro so you have to study nicely
What people are saying about Google
I applied via Recruitment Consulltant and was interviewed in Apr 2023. There were 3 interview rounds.
Leetcode question on DFS and BFS. Passed
Develop a ml model to predict pass/no pass decision.
I applied via Campus Placement and was interviewed before Nov 2020. There was 1 interview round.
I applied via Recruitment Consultant and was interviewed before Jul 2020. There was 1 interview round.
Function to return mutual friends given two ids and getFriends(id) function
Call getFriends(id) for both ids to get their respective friend lists
Iterate through both lists and compare to find mutual friends
Return the list of mutual friends
Function to return list of friends of friends in decreasing order of mutual friends
Use a set to store all friends of friends
Iterate through the list of friends of the given id
For each friend, iterate through their list of friends and count mutual friends
Sort the set of friends of friends by decreasing number of mutual friends
Given time slots, find a specific time with maximum overlap. Prove solution.
Create a list of all start and end times
Sort the list in ascending order
Iterate through the list and keep track of the number of overlaps at each time
Return the time with the maximum number of overlaps
Prove solution by testing with different input sizes and edge cases
Find the longest sub-array with increasing order of integers.
Iterate through the array and keep track of the current sub-array's start and end indices.
Update the start index whenever the current element is smaller than the previous element.
Update the end index whenever the current element is greater than or equal to the next element.
Calculate the length of the sub-array and compare it with the longest sub-array found s
Find the length of longest increasing subsequence and print the sequence from an array of integers.
Use dynamic programming to solve the problem
Create an array to store the length of longest increasing subsequence ending at each index
Traverse the array and update the length of longest increasing subsequence for each index
Print the sequence by backtracking from the index with the maximum length
Time complexity: O(n^2)
Exam...
Code to find a given integer in a rotated sorted array.
Use binary search to find the pivot point where the array is rotated.
Divide the array into two subarrays and perform binary search on the appropriate subarray.
Handle edge cases such as the target integer not being present in the array.
Use a min-heap to keep track of the largest K numbers seen so far.
Create a min-heap of size K.
For each incoming integer, add it to the heap if it's larger than the smallest element in the heap.
If the heap size exceeds K, remove the smallest element.
At the end, the heap will contain the largest K numbers in the input.
LRU Cache is a data structure that stores the most recently used items and discards the least recently used items.
Use a doubly linked list to keep track of the order of items in the cache
Use a hash map to store the key-value pairs for fast access
When an item is accessed, move it to the front of the linked list
When the cache is full, remove the least recently used item from the back of the linked list and the hash map
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