Suma Soft MIS Executive Interview Questions and Answers

The aptitude test contains questions MCQs for quants, basic statistics and basic coding questions. The aptitude also has 2 coding problems to solve which would be of easy-medium level.

The second round was live coding test, where the interviewer looks for your approach towards solving a given problem. The approach matters more than the correct syntax. All coding languages were allowed. SQL queries can also be asked.

Q1. Technical cum HR round contains language specific questions as well questions based on mathematics and statistics. Questions can be little bit tricky.
Add your answer

1st Round consisted of Technical Discussion and Coding Round. I was asked to write down the logic for Prime no., Fibonacci Series, Matrix related question, etc.

I was asked to share my screen and write down logic for questions related to Strings, Arrays and 2-D matrix's.

Q1. Discussion About the previous projects done. Detailed questions about the technique used and algorithm related questions.
Add your answer
Q2. Few basic questions about ML. eg: Linear Regression, Logistic Regression, etc.
Add your answer

Q1. Node js concepts in details
Add your answer

Prime number in javascript

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

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

Q1. All about financials
Add your answer
Q2. Relocating possible
Add your answer