TCS iON Associate Interview Questions and Answers

Different logical reasoning question over the round

Different dsa question over topics array ,string etc

Q1. Tell me about yourself
Ans. 
I am a dedicated and hardworking individual with a passion for learning and growth.
• I have a Bachelor's degree in Business Administration

• I have 3 years of experience in marketing and sales

• I am proficient in Microsoft Office Suite and social media marketing

• I am a team player and enjoy collaborating with others to achieve goals
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Q2. Tell me your strength
Ans. 
My strength lies in my ability to effectively communicate and collaborate with team members to achieve common goals.
• Strong communication skills - able to clearly convey ideas and information

• Collaborative nature - work well with others to problem solve and innovate

• Adaptability - able to adjust to changing circumstances and priorities

• Leadership skills - able to motivate and inspire team members towards success
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Q1. Tell me about yourself
Ans. 
I am a dedicated and hardworking individual with a passion for learning and growth.
• I have a strong work ethic and always strive to exceed expectations

• I am a quick learner and adapt well to new environments

• I have experience in project management and team collaboration
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Q2. Tell me your strength
Ans. 
My strength lies in my ability to effectively communicate and collaborate with team members to achieve common goals.
• Strong communication skills

• Collaborative mindset

• Ability to work well in a team

• Problem-solving skills

• Leadership qualities
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Q1. Basic technology
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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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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. 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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