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I applied via Job Fair and was interviewed in Aug 2023. There were 4 interview rounds.
SQL queries related discussion
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I applied via Campus Placement and was interviewed in Dec 2016. There were 5 interview rounds.
I applied via Campus Placement and was interviewed before Dec 2015. There were 2 interview rounds.
I applied via Campus Placement and was interviewed in Dec 2016. There were 3 interview rounds.
I applied via Referral and was interviewed in Feb 2020. There were 6 interview rounds.
I applied via LinkedIn and was interviewed in Apr 2022. There were 3 interview rounds.
OS Networks C Programming Aptitude Mcqs
Two Coding questions and were of medium to hard level.
I applied via Company Website and was interviewed before Apr 2022. There were 5 interview rounds.
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Pure technical on kernel programming
Multi-threaded programming can be achieved by creating multiple threads that run concurrently.
Identify the tasks that can be executed in parallel
Create threads using threading libraries in the chosen programming language
Synchronize the threads to avoid race conditions and deadlocks
Use locks, semaphores, and mutexes to manage shared resources
Optimize the performance by balancing the workload among threads
I applied via Referral and was interviewed before Oct 2022. There were 3 interview rounds.
A module in Python is a file containing Python code, which can define functions, classes, and variables.
Modules help organize Python code into reusable components
Modules can be imported into other Python scripts using the 'import' keyword
Examples of modules in Python include math, random, and os
I applied via Referral and was interviewed before Sep 2020. There was 1 interview round.
I appeared for an interview in Oct 2024, where I was asked the following questions.
Maximize item collection using a sliding window approach on a 1D axis.
Identify the range of positions on the x-axis where items are located.
Use two pointers to represent the current window of positions being considered.
Expand the right pointer to include more items until the window exceeds the desired range.
Contract the left pointer to reduce the window size while maintaining the maximum sum of items.
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