Tata Technologies Interview Questions, Process, and Tips

Q1. What is a tata company?
Ans. 
Tata Group is an Indian multinational conglomerate company with businesses in various sectors such as automotive, steel, telecommunications, and more.
• Tata Group is one of the largest conglomerates in India.

• It has businesses in sectors like automotive, steel, telecommunications, and more.

• Some of its well-known companies include Tata Motors, Tata Steel, and Tata Consultancy Services.
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Q2. Feathers of tata company
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Q3. Advantages of tata company
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Tata Company has a strong global presence, diverse portfolio, and a history of innovation.
• Strong global presence with operations in over 100 countries

• Diverse portfolio spanning industries such as automotive, steel, IT services, and more

• History of innovation with products like Tata Nano, India's first affordable car
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Q4. Disadvantage oftata company
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One disadvantage of a Tata company is its limited global presence compared to other multinational corporations.
• Limited global reach compared to competitors like Apple or Samsung

• May face challenges in expanding into new markets due to lack of brand recognition

• Potential difficulties in attracting top talent from around the world

• Less diversified revenue streams compared to larger multinational companies
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Q5. What is working of tata company
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Q1. What is your name? My name is Angara Raviteja.
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Q2. What are your qualifications? I have completed the Government polytechnic in diploma mechanical engineering.
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Q3. What is MS and SS?
Ans. 
MS stands for Mild Steel and SS stands for Stainless Steel.
• MS (Mild Steel) is a type of carbon steel with low carbon content and is commonly used in construction.

• SS (Stainless Steel) is a type of steel alloy with a minimum of 10.5% chromium content, known for its corrosion resistance.

• SS is often used in kitchen appliances, surgical instruments, and industrial equipment.

• MS is used in structural applications, automotive
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Q1. I cant tell anything
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Q2. I cant tell anything
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Q1. No I can't tell
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Q2. No I can't tell
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Group of 5 Peoples
Topic: Social Media
Time: 10 mins

Q1. Tell me about your self?
Ans. 
Experienced C++ developer with a passion for problem-solving and creating efficient solutions.
• Over 5 years of experience in C++ development

• Strong understanding of data structures and algorithms

• Proficient in object-oriented programming principles

• Developed a real-time chat application using C++ and Boost.Asio library
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Q2. Explain about you project?
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Q3. What is the role you did in project?
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Q1. React basic questions
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Q2. Javascript Basic questions
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Q1. Questions on Jwt token
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Q2. How to store jwt token
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JWT tokens can be stored in browser storage or cookies for persistent authentication.
• Store JWT token in browser's local storage for client-side storage

• Store JWT token in browser's session storage for temporary storage

• Store JWT token in HTTP-only cookies for better security and protection against XSS attacks
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Q3. How to secure jwt token
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Secure JWT tokens by using HTTPS, storing them securely, setting short expiration times, and implementing proper validation checks.
• Use HTTPS to encrypt communication between client and server

• Store JWT tokens securely in cookies with HttpOnly and Secure flags

• Set short expiration times for JWT tokens to limit exposure

• Implement proper validation checks for JWT tokens to prevent tampering
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Questions related to Core subjects

Q1. Diodes Transistors and digital circuits
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Q2. Star delta circuits symbols
Ans. 
Star delta circuits symbols represent the connections used in motor control circuits.
• Star symbol (Y) represents the connection of three windings in a star configuration

• Delta symbol (Δ) represents the connection of three windings in a delta configuration

• The star-delta starter is a common application of these symbols in motor control circuits
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Q1. Work life balance
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Q2. Shifts workings choice ?
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Q1. What is bias variance trade off?
Ans. 
Bias-variance trade off is the balance between underfitting (high bias) and overfitting (high variance) in machine learning models.
• Bias refers to the error introduced by approximating a real-world problem, leading to underfitting.

• Variance refers to the model's sensitivity to fluctuations in the training data, leading to overfitting.

• Finding the right balance between bias and variance is crucial for creating a model that...read more
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