Infosys Consulting Associate Interview Questions and Answers

Q1. Why did we hired you
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Q2. What is next 5 years see your self
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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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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. OOPS concept Java fundamentals
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Q1. Project work framework Rest Assured
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It was the easy round to clear they ask basic quans which include DBMS and grammar over all the round was easy

Q1. The test was condected by AI overall the round is easy
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Q1. They asked questions about my project and basic question in java
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