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I applied via Campus Placement and was interviewed before Feb 2022. There were 3 interview rounds.
All are technical skill questions
I am a dedicated and passionate Associate Software Engineer with a strong academic background.
Bachelor's degree in Computer Science from XYZ University
Completed multiple projects during my academic years, including a web application for managing student records
Received academic excellence award for outstanding performance in programming courses
Participated in coding competitions and hackathons, consistently achieving t...
I appeared for an interview in Aug 2020.
I applied via Campus Placement and was interviewed before Sep 2020. There was 1 interview round.
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I applied via Naukri.com and was interviewed before Feb 2020. There were 3 interview rounds.
Quicksort has an average and best-case time complexity of O(n log n) and worst-case of O(n^2).
Quicksort is a divide-and-conquer algorithm that recursively partitions an array into two sub-arrays based on a pivot element.
The average and best-case time complexity is O(n log n) because each partition divides the array into roughly equal halves.
The worst-case time complexity is O(n^2) when the pivot element is the smallest...
I applied via Referral and was interviewed before Sep 2020. There were 5 interview rounds.
I appeared for an interview in Oct 2020.
Round duration - 60 Minutes
Round difficulty - Medium
Permutations of a string with fixed characters.
For 1st character fixed: Generate permutations for the remaining characters.
For 1st and 2nd characters fixed: Generate permutations for the remaining characters.
For 1st, 2nd, and 3rd characters fixed: Generate permutations for the remaining characters.
A thief is planning to rob a store and can carry a maximum weight of 'W' in his knapsack. The store contains 'N' items where the ith item has a weight of 'wi' and a value of...
Yes, the 0/1 Knapsack Problem can be solved using dynamic programming with a space complexity of not more than O(W).
Use a 1D array to store the maximum value that can be stolen for each weight capacity from 0 to W.
Iterate through each item and update the array based on whether including the item would increase the total value.
The final element of the array will contain the maximum value that can be stolen within the we
Tip 1 : Do atleast 1 internship
Tip 2 : Don't write anything vague or don't brag be honest with your resume
Tip 3 : Go through OOPS concepts thoroughly
Tip 1 : Mention your projects clearly they will definitely question about your projects
Tip 2 : Do mention about your coding/dsa achievements it makes a good impact on the interviewer
I applied via Naukri.com and was interviewed in Sep 2021. There was 1 interview round.
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