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I applied via Campus Placement and was interviewed before Sep 2022. There were 4 interview rounds.
Test based on js, python, html and css
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Overfitting occurs when a machine learning model learns the training data too well, including noise and outliers, leading to poor generalization on new data.
Overfitting happens when a model is too complex and captures noise in the training data.
It leads to poor performance on unseen data as the model fails to generalize well.
Techniques to prevent overfitting include cross-validation, regularization, and early stopping.
...
Overfitting occurs when a model learns the details and noise in the training data to the extent that it negatively impacts the model's performance on new data.
Overfitting happens when a model is too complex and captures noise in the training data.
It leads to poor generalization and high accuracy on training data but low accuracy on new data.
Techniques to prevent overfitting include cross-validation, regularization, and...
I appeared for an interview in Mar 2025, where I was asked the following questions.
posted on 29 Feb 2024
I applied via Approached by Company and was interviewed before Feb 2023. There were 3 interview rounds.
posted on 4 May 2019
I applied via Naukri.com and was interviewed in Oct 2018. There were 3 interview rounds.
I applied via Company Website and was interviewed before Dec 2019. There were 3 interview rounds.
posted on 13 Jan 2021
I applied via Referral and was interviewed before Jan 2020. There was 1 interview round.
We are using a variety of technologies, including some of the latest ones.
We are using React for our front-end development.
We are also using Node.js for our back-end development.
We are using Docker for containerization.
We are using Kubernetes for orchestration.
We are using AWS for cloud hosting.
We are constantly evaluating new technologies to see if they can improve our development process.
It depends on the specific requirements and constraints of the project.
Consider the project's goals and objectives
Evaluate the available technologies and their capabilities
Assess the project's budget and timeline
Consult with stakeholders and experts in the field
Examples: React vs Angular, MySQL vs MongoDB, Java vs Python
I applied via Naukri.com
This is the round in which basic quant questions were asked
In this round basic 2 java questions were asked
In this round one topic was given and we need to discuss about that topic
Java is a high-level, object-oriented programming language used to develop applications for various platforms.
Java is platform-independent, meaning it can run on any platform with a Java Virtual Machine (JVM)
It is known for its security features, such as the ability to run code in a sandbox environment
Java is used for developing a wide range of applications, from web applications to mobile apps and games
It is also used...
Searching is finding a specific item in a collection of items. Sorting is arranging items in a specific order.
Searching involves looking for a specific item in a collection of items.
Sorting involves arranging items in a specific order, such as alphabetical or numerical.
Searching and sorting are commonly used in computer science and data analysis.
Examples of searching algorithms include linear search and binary search.
E...
A binary tree is a data structure consisting of nodes, where each node has at most two children.
Nodes in a binary tree have a left and/or right child node.
The topmost node is called the root node.
Binary trees are used in search algorithms and data compression.
Examples of binary trees include binary search trees and heap trees.
posted on 5 Oct 2023
I applied via Company Website and was interviewed before Oct 2022. There were 5 interview rounds.
Duration is around 1 hour
posted on 2 Jul 2024
Find the second largest number in an array of strings.
Convert the strings to numbers for comparison.
Sort the array in descending order.
Return the second element in the sorted array.
Find pairs in an array that sum up to a given target value.
Use a hash set to store the difference between the target value and each element in the array.
Iterate through the array and check if the current element's complement exists in the hash set.
Return the pairs that sum up to the target value.
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