Concentrix Corporation Test Engineer Interview Questions and Answers

Coding test

Q1. Technical round was asked technical questions
Add your answer

Q1. What is the skill set of your previous job
Ans. 
My previous job required a skill set including proficiency in network design, troubleshooting, and system administration.
• Proficiency in network design

• Strong troubleshooting skills

• Experience in system administration

• Knowledge of various operating systems and software

• Ability to work well under pressure and meet deadlines
Answered by AI
Add your answer
Q2. Explain about your project
Ans. 
Developed a system for automating network monitoring and troubleshooting
• Designed and implemented a custom monitoring tool to track network performance

• Integrated alerting system to notify administrators of any issues in real-time

• Utilized machine learning algorithms to predict potential network failures

• Reduced downtime by 30% and improved overall network efficiency
Answered by AI
Add your answer

Q1. Which anti virous we use ?
Ans. 
We use multiple antivirus software depending on the specific needs and requirements.
• We have a combination of commercial antivirus software like Norton and McAfee.

• We also utilize open-source antivirus solutions like ClamAV.

• In addition, we have developed our own proprietary antivirus software tailored to our organization's needs.

• The choice of antivirus software depends on factors such as effectiveness, compatibility, and...read more
Answered by AI
View 1 more answer

Q1. Aptitude question
Add your answer
Q2. Explanation about my project
Ans. 
I developed a web application for tracking personal fitness goals and progress.
• Used HTML, CSS, and JavaScript for front-end development

• Utilized Node.js and Express for back-end development

• Implemented user authentication and data storage using MongoDB

• Incorporated data visualization tools like Chart.js for displaying progress graphs
Answered by AI
Add your answer

Q1. What is k in KNN algorithm ?
Ans. 
k in KNN algorithm represents the number of nearest neighbors to consider when making a prediction.
• k is a hyperparameter that is chosen by the user and determines how many neighbors to look at when classifying a new data point.

• A smaller value of k can lead to overfitting, while a larger value can lead to underfitting.

• For example, if k=3 in a KNN algorithm, the prediction for a new data point will be based on the majori
Answered by AI
Add your answer
Q2. A small riddle
Add your answer