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I applied via Referral and was interviewed in Jul 2024. There was 1 interview round.
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I applied via Campus Placement and was interviewed in Aug 2024. There were 3 interview rounds.
40 technical questions were there.
In total 5 questions were there. Time was alloted per question.
posted on 17 Sep 2024
posted on 19 Aug 2021
I was interviewed in Feb 2024.
I applied via Campus Placement and was interviewed in Sep 2024. There were 3 interview rounds.
Easy mcqs and it will be cleared
It's very hard process
Code is a set of instructions written in a programming language to perform a specific task. Pulses are short bursts of energy or signals.
Code is written in programming languages like Python, Java, C++, etc.
Code instructs computers to perform specific tasks or operations.
Pulses are short bursts of energy or signals used in electronics and communication systems.
Examples of pulses include digital signals in computers and
Data structure is a way of organizing and storing data in a computer so that it can be accessed and used efficiently.
Data structures define the way data is organized and stored in memory.
Examples include arrays, linked lists, stacks, queues, trees, and graphs.
Choosing the right data structure is important for efficient data manipulation and retrieval.
posted on 21 Aug 2024
I was interviewed before Aug 2023.
Dependency injection is a design pattern in which components are given their dependencies rather than creating them internally.
Allows for easier testing by injecting mock dependencies
Promotes loose coupling between components
Improves code reusability and maintainability
Commonly used in frameworks like Spring in Java
posted on 16 May 2024
I applied via Company Website and was interviewed in Apr 2024. There was 1 interview round.
I applied via Naukri.com and was interviewed in Sep 2024. There were 2 interview rounds.
50 multiple choice questions
Asked coding questions of DSA
posted on 10 Feb 2024
I applied via Referral and was interviewed before Feb 2023. There was 1 interview round.
PCA stands for Principal Component Analysis, a dimensionality reduction technique used in machine learning.
PCA is used to transform a dataset into a lower-dimensional space while retaining most of the original information.
It identifies the directions (principal components) in which the data varies the most.
The first principal component captures the maximum variance in the data, followed by the second, and so on.
PCA is ...
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