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I applied via Campus Placement and was interviewed in Aug 2024. There were 3 interview rounds.
MCQ on computer fundamentals
5 DSA questions medium , hard lvl
I applied via Campus Placement and was interviewed in Aug 2024. There were 2 interview rounds.
50 questions were given and we were supposed to solve it in 45 mins. But from what I've heard only 12 students made it to the next round.
Didn't qualify but it consisted of leetcode medium-hard questions.
Duration is 45 minutes
Data structures and java programming
I applied via Campus Placement and was interviewed in Sep 2023. There were 3 interview rounds.
50 questions should be answered in 45 minutes. They include Aptitude, OS, Pseudo codes, micro processors etc
5 questions will be given 1 easy 2 med 2 hard. Atleast 3 and more should be done
JS is used for web development due to its compatibility with browsers, asynchronous capabilities, and large community support.
JavaScript is the only language that can be executed in the browser, making it essential for client-side scripting.
JS has asynchronous capabilities, allowing for non-blocking operations which are crucial for web development.
There is a large community of developers using JS for web development, p...
Deltax interview questions for designations
Basics computer fundamentals questions like oops dsa dbms sql
5 coding questions , 2 are easy 3 medium
Top trending discussions
posted on 7 Jun 2024
I applied via Recruitment Consulltant and was interviewed before Feb 2023. There were 3 interview rounds.
JavaScript, React Js
One weakness I have is that I can be overly critical of my own work, which can sometimes lead to self-doubt.
I tend to overthink things and can be indecisive at times
I have a tendency to take on too many tasks at once, leading to feeling overwhelmed
I struggle with public speaking and often get nervous in front of large groups
I appeared for an interview in Apr 2023.
Project assigned for creating new website
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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2 Interview rounds
based on 2 reviews
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