Bytes Technolab Software Engineer Interview Questions and Answers

1 round is coding round in pan paper test atleast 5 coding questions and some multiple questions and 1 DSA questions and 4 coding questions correct and dsa correct than interview

Array and OOPS concept. Given set of questions to solve with each oops concept

Q1. Out of box thinking. Given logical puzzles and ask you to analyze and provide your understanding
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Q2. Explain the inheritance concept with car model
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Inheritance in car model refers to the ability of a new car model to inherit features and characteristics from an existing car model.
• Inheritance allows for the creation of a new car model that shares common features with an existing car model

• The new car model can add or modify features inherited from the existing car model

• For example, a new sports car model can inherit features from a base car model such as engine, tra...read more
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Q3. Probability question with fruits and boxes
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Logical reasoning and Aptitude

Functions with Pointers and strings concepts

Q1. Mainly on Pointers and Dynamic Memory Allocation of 2-D Array
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Q2. Structure Padding and Packing
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Q1. Basic behavioural and Technical questions
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Q2. What are the differences between Python 2 and Python 3, and how are comments used in Python? Additionally, can you describe your personal projects and group projects during your college studies?
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Python 2 vs Python 3 differences, comments usage, and college projects
• Python 2 is legacy, Python 3 is current version with improved syntax and features

• Python 2 uses print as a statement, Python 3 uses print() as a function

• Comments in Python start with # symbol and can be used to explain code or disable certain lines

• Personal project: Developed a web scraping tool using Python to extract data from websites

• Group project: ...read more
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Q1. Taken by Senior AI developer and CTO. It was an hour interview where they asked scenario based questions on RAG. And simple questions on ML and CNN too.
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RAG (Retrieval-Augmented Generation) enhances AI by combining retrieval and generation for improved responses.
• RAG uses a two-step process: retrieval of relevant documents followed by generation of responses.

• Example: In a chatbot, RAG can pull information from a database to provide accurate answers.

• It leverages large language models (LLMs) to generate contextually relevant responses based on retrieved data.

• RAG can impro...read more
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Q2. Vector databases
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The aptitude test was easy. basic mcq questions were asked.

It was a pen paper test and was comparatively tough.

Q1. Basic concepts of Promises
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Q2. What is Hashing
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Q3. Authentication and Validation
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