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I applied via Campus Placement and was interviewed in May 2023. There were 3 interview rounds.
Numericals , conjective and qualitative
Problem solving and ability to handle scenerio based questions.
Top trending discussions
posted on 23 Apr 2024
posted on 24 Sep 2024
Hacker rank arrays questions were asked
posted on 16 Feb 2024
I applied via Naukri.com and was interviewed in Aug 2023. There were 4 interview rounds.
Easy questions, duration will be enough to solve all
Easy to moderate level of questions
posted on 27 Oct 2024
I applied via Campus Placement and was interviewed before Oct 2023. There were 2 interview rounds.
Write a program for linear search
A C++ program for linear search in an array of strings
Declare an array of strings
Take input from user for the element to search
Iterate through the array to find the element
Return the index if found, otherwise return -1
posted on 11 Jun 2022
I applied via Approached by Company and was interviewed in May 2022. There was 1 interview round.
posted on 20 Jan 2024
I applied via Naukri.com and was interviewed before Jan 2023. There were 4 interview rounds.
posted on 18 Sep 2024
I applied via Naukri.com and was interviewed before Sep 2023. There were 3 interview rounds.
Two rounds of coding which was medium to hard
I was assigned to develop a software on car automation
I chose Mercedes because of its reputation for luxury, innovation, and quality. I expect a challenging and rewarding work environment.
Chose Mercedes for its reputation for luxury and innovation
Expect a challenging and rewarding work environment
Impressed by Mercedes' commitment to quality and cutting-edge technology
2 String matching on given string
An optimizer is a software tool or algorithm used to improve the performance of a system by minimizing errors or maximizing efficiency.
Optimizers are commonly used in programming languages to improve code execution speed and reduce memory usage.
Examples of optimizers include compiler optimizers, database query optimizers, and machine learning model optimizers.
Optimizers work by analyzing code or data to identify ineffi...
LSTM stands for Long Short-Term Memory, a type of recurrent neural network (RNN) architecture.
LSTM networks are designed to overcome the vanishing gradient problem in traditional RNNs.
They are capable of learning long-term dependencies in data sequences.
LSTM networks have gates (input, output, forget) that regulate the flow of information within the network.
They are commonly used in tasks such as speech recognition, la
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