Greet Technologies Senior Software Engineer 1 Interview Questions and Answers

Coding test

Q1. Technical round was asked technical questions
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Q1. Self introduction
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Q1. Project explanation
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Q1. Salary Discussion
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Coding interviews test candidates' technical knowledge, coding ability, problem solving skills, and creativity, typically on a whiteboard.

A detail assignment is the temporary placement of a career employee in another established position that is vacant or from which the incumbent is absent.

An aptitude test is a way for employers to assess a candidate's abilities through a variety of different testing formats. Aptitude tests will test your ability to perform tasks and react to situations at work. This includes problem-solving, prioritisation and numerical skills, amongst other things.

Q1. Consider the tools and skills necessary for the role. Think about the basic requirements of the job. ...
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Q2. Study helpful books and digital publications. .
Ans. For books about studying productively, I think you'd be hard-pressed to find better than Eat That Frog – For Students by Brian Tracy and Anna Leinberger, The Productivity Project and Hyperfocus by Chris Bailey, The Procrastination Equation by Dr Piers Steel and Deep Work by Cal Newport.
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Q3. Take the time you need
Ans. Said to mean that you can spend as much time as you need in doing something, or that you should slow down
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Cat level maths are to be solved

Java coding basic questions

Q1. Oops PILLER AND DSA
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Q2. DSA .NET SQL & DB
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Q1. Aptitude question
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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
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Q1. What is k in KNN algorithm ?
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Q2. A small riddle
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Q1. Python basic questions
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Q2. Rasa chatbot development explain
Ans. 
Rasa is an open-source framework for building chatbots and virtual assistants.
• Rasa uses natural language processing (NLP) and machine learning to understand and respond to user inputs.

• It allows for customizable dialogue management and integrates with various channels such as Facebook Messenger and Slack.

• Rasa also provides tools for training and evaluating chatbots.

• Example use cases include customer service, scheduling ...read more
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