Volkswagen Devops Interview Questions and Answers

Quantitative, verbal

2 coding questions easy, medium

Q1. SQL queries, java, oops
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Q2. Projects resume
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Q1. Basics of java oops concept
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Q2. Java 8 questions and concept
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An aptitude test is an exam used to determine an individual's skill or propensity to succeed in a given activity

Programming questions are an integral part of an interview for the developer's position

It was an online test which basically tests your basics

Q1. He asked to explain my resume
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Q2. And questions related to the projects which I did
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Two rounds of coding which was medium to hard

I was assigned to develop a software on car automation

Q1. About yourself and my education
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Q2. Why mercedes and what you expect from us
Ans. 
I chose Mercedes because of its reputation for luxury, innovation, and quality. I expect a challenging and rewarding work environment.
• Chose Mercedes for its reputation for luxury and innovation

• Expect a challenging and rewarding work environment

• Impressed by Mercedes' commitment to quality and cutting-edge technology
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Good easy basic quesrions

Basic Java and OOPS questions were asked

LLd and hld and basic java were asked

Write a program for linear search

Q1. Write cpp program for linear search
Ans. 
A C++ program for linear search in an array of strings
• Declare an array of strings

• Take input from user for the element to search

• Iterate through the array to find the element

• Return the index if found, otherwise return -1
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Q2. OOPs basics concepts asked
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Q1. Tell me about About yourself
Ans. 
I am a passionate software developer with experience in Java, Python, and web development.
• Experienced in Java, Python, and web development

• Strong problem-solving skills

• Team player with excellent communication skills
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Q2. Describe your projects
Ans. 
I have worked on various projects including web development, mobile app development, and data analysis.
• Developed a web application for a small business to manage inventory and sales

• Created a mobile app for tracking fitness goals and progress

• Performed data analysis on customer feedback to improve user experience
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Q3. How you implement machine learning algorithms in cars
Ans. 
Machine learning algorithms in cars are implemented through sensors, data collection, training models, and real-time decision-making.
• Collecting data from various sensors installed in the car, such as cameras, lidar, radar, and GPS.

• Training machine learning models using the collected data to recognize patterns and make predictions.

• Implementing real-time decision-making algorithms in the car's onboard computer to assist ...read more
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