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Spark is faster than Hadoop MapReduce due to in-memory processing and supports multiple types of workloads.
Spark performs in-memory processing, while Hadoop MapReduce writes to disk after each task.
Spark supports multiple types of workloads like batch processing, interactive queries, streaming data, and machine learning, while Hadoop MapReduce is mainly for batch processing.
Spark provides higher-level APIs in Java, Sca...
I applied via Recruitment Consulltant and was interviewed in Jan 2024. There were 3 interview rounds.
I'm referred so I don't need to do the coding test
Alibaba Group interview questions for popular designations
I applied via LinkedIn and was interviewed in Feb 2024. There was 1 interview round.
Some coding question about optimization algorthim
I applied via Recruitment Consulltant and was interviewed in Oct 2023. There was 1 interview round.
I was surprised to see that all applications were gathered at a huge meeting room. We were handed out 4 pages of a case study and we were told to create a business plan for our responsible market.
I applied via Naukri.com
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I applied via Company Website and was interviewed in Sep 2021. There was 1 interview round.
I appeared for an interview before Sep 2020.
Round duration - 120 minutes
Round difficulty - Medium
10 min for debugging
40 min for problems(coding)
40 min for pyschometric
30 min for aptitude
You are located at point ‘A’, the top-left corner of an M x N matrix, and your target is point ‘B’, the bottom-right corner of the same matrix. Your task is to calcula...
The task is to calculate the total number of unique paths from the top-left to bottom-right corner of an M x N matrix by moving only right or down.
Use dynamic programming to solve this problem efficiently.
Create a 2D array to store the number of unique paths for each cell in the matrix.
Initialize the first row and first column with 1 as there is only one way to reach each cell in the first row and column.
For each cell ...
You are given two strings 'A' and 'B' composed of words separated by spaces. Your task is to determine the most frequent and lexicographically smallest word in string ...
Find the most frequent and lexicographically smallest word in string 'A' that is not present in string 'B'.
Split strings 'A' and 'B' into words
Count frequency of each word in 'A'
Check if word is not in 'B' and is the most frequent and lexicographically smallest
Return the word or -1 if no such word exists
Round duration - 90 Minutes
Round difficulty - Easy
timing was 4 pm . we connected on amazon chime. Initially he asked me a few things from resume then moved on to problem solving.
You are provided with a 2-dimensional matrix having N
rows and M
columns, containing only 1s (land) and 0s (water). Your goal is to determine the number of islands in t...
Count the number of islands in a 2D matrix of 1s and 0s.
Use Depth First Search (DFS) or Breadth First Search (BFS) to traverse the matrix and identify connected groups of 1s.
Maintain a visited array to keep track of visited cells to avoid redundant traversal.
Increment the island count each time a new island is encountered.
Consider all eight possible directions for connectivity while traversing the matrix.
Handle edge ca...
You are given an array/list HEIGHTS
of length N
, where each element represents the height of a histogram bar. The width of each bar is considered to be 1.
Find the area of the largest rectangle that can be formed within the bounds of a given histogram.
Iterate through the histogram bars and maintain a stack to keep track of increasing heights.
Calculate the area of the rectangle formed by each bar as the smallest height in the stack times the width.
Update the maximum area found so far and return it as the result.
Tip 1 : be confident since interviewer is looking at how confident you are with your skills
Tip 2 : dont learn the algorithms but try to understand them
Tip 3 : focus on trees and graphs since amazon asks more of that
Tip 1 : KEEP RESUME SHORT(1 PAGE)
Tip 2 : DONT BLUFF IN RESUME SINCE MY INTERVIEWER ASKED ME LOOKING FROM IT
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