Toshiba Software India Trainee Interview Questions and Answers

Q1. Assignment is given before hand and after that you'll have to pair with TW developer. While pairing, code smells/improvements are discussed
Add your answer

Q1. Questions related: to your last project to OOPS with system design
Add your answer

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
Answered by AI
Add your answer
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.
Answered by AI
Add your answer

Q1. .Net Core questions
Add your answer
Q2. Azure DevOps Experience based questions
Add your answer

Basic questions on oops and sql queries

Q1. SQL Query on many to many table and aggregations
Ans. 
Understanding SQL queries for many-to-many relationships and performing aggregations on them.
• Many-to-many relationships require a junction table to link two entities.

• Example: Students and Courses can be linked via a StudentCourses table.

• Use JOINs to combine data from multiple tables in your query.

• Aggregations like COUNT, SUM, AVG can be applied to the results.

• Example SQL: SELECT CourseID, COUNT(StudentID) FROM StudentC...read more
Answered by AI
Add your answer
Q2. OOPS concepts and SpringBoot
Add your answer

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
Answered by AI
Add your answer