Compunnel NON IT Recruiter Interview Questions and Answers

Q1. Write a embedded C program which will communicate with DB and fetch some data back while using host and indicator varibles.
Ans. 
A C program that communicates with a database and retrieves data using host and indicator variables.
• Use appropriate database libraries and APIs to establish a connection with the database.

• Define host and indicator variables to store the fetched data.

• Write SQL queries to fetch the required data from the database.

• Execute the queries and retrieve the data into the host variables.

• Use the indicator variables to check for an...read more
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Typing and one to one

Q1. Its easy they will ask about your experience
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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.

They asked basic java programs
Adding 2 no by using strams.

Q1. 1) basic introduction 2) regrarding java selenium 3) Framework design 4) cicd pipeline 5) git 6) testng 7) postman
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Q1. Basic salary discusion , notice period
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Q1. Exceptions and thread implementation
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Q2. Basics of restful web services
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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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Q1. Concepts on oops progressing the way that it will include
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Q2. Answers on the dilegent way
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