Speridian Technologies Associate Interview Questions and Answers

Q1. Most of AD, Server, VWware,
Add your answer

Q1. Public,private,protected in java
Add your answer
Q2. About project and subjects
Add your answer

Q1. General discussion related to overall experience and technology
Add your answer

Q1. Technical questions related to Desktop support, Outlook, configurations, onboarding process and salary negotiations.
Add your answer

Q1. Previous work experiences
Add your answer

Current domain knowledge test

Basic speaking test, english

Q1. What is your analysis of the graphs?
Ans. 
The graphs show a steady increase in sales over the past year.
• Sales have been consistently rising month over month.

• There was a significant spike in sales during the holiday season.

• The overall trend is positive and indicates growth in the business.
Answered by AI
Add your answer

Q1. Org fit check questions
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