Xebia Team Lead Interview Questions and Answers

Mcq tests on java ,springboot and data base concepts

Q1. Techno managerial round on last project worked.Discussion about project you are going to work.
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45 mins, maths

Q1. What are your salary expectations?
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Q2. Share details of your previous job.
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Q3. Tell me about yourself.
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Q1. Explain random forest
Ans. 
Random forest is an ensemble learning method that builds multiple decision trees and merges them to improve accuracy and prevent overfitting.
• Random forest is a type of ensemble learning method.

• It builds multiple decision trees during training.

• Each tree is built using a subset of the training data and a random subset of features.

• The final prediction is made by averaging the predictions of all the individual trees.

• Random...read more
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Q2. What is boosting
Ans. 
Boosting is a machine learning ensemble technique where multiple weak learners are combined to create a strong learner.
• Boosting is an iterative process where each weak learner is trained based on the errors of the previous learners.

• Examples of boosting algorithms include AdaBoost, Gradient Boosting, and XGBoost.

• Boosting is used to improve the accuracy of models and reduce bias and variance.
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I was asked 2 programming questions.

Q1. Scenario based question. What if someone creates new user with 1st name and last name but backend developer forgot to write code to store last name. How will data be corrected.
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Some mcq questions and coding question. Both where easy to medium level. Prepare combination/permutation/Time complexity etc

A question related to Binary search and some other follow ups.

Q1. .NET MVC, .NET Core, .NET
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Q2. MS SQL, MongoDB, NoSQL
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Q1. Why you relieved previous organisation?
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Q1. Are you immediate joiner?
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