Infosys Consulting Test Lead Interview Questions and Answers for Experienced

Technical Discussion

Technical Discussion with Coding Test

Q1. Previous Job Details
Ans. 
I worked as a project manager at a consulting firm, leading teams to deliver strategic solutions for clients across various industries.
• Managed a team of 10 consultants to deliver a market entry strategy for a tech startup.

• Conducted data analysis to identify key trends, resulting in a 20% increase in client revenue.

• Facilitated workshops with clients to align project goals and expectations, enhancing client satisfaction.

• ...read more
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Q2. Salary discussion
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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
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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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Create a business requirement document

Q1. What are the strengths and weakness
Ans. 
Strengths include strong analytical skills and attention to detail. Weaknesses may include difficulty with public speaking and time management.
• Strengths: strong analytical skills

• Strengths: attention to detail

• Weaknesses: difficulty with public speaking

• Weaknesses: time management
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Q1. Most of AD, Server, VWware,
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