Intelizign Lifecycle Services Interview Questions, Process, and Tips

Basic apptitude questions like time and work, distance and percentage...

This round is coding and technical round

Q1. Oops related questions and coding also
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Q2. Java collection and array related e
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Q1. Tele me about yourself
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Q1. Maneger said that tell me about yourself And what is data annotations
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Q1. Difference between compile time and runtime polymorphism?
Ans. 
Compile time polymorphism is method overloading while runtime polymorphism is method overriding.
• Compile time polymorphism is resolved at compile time while runtime polymorphism is resolved at runtime.

• Method overloading is an example of compile time polymorphism where multiple methods have the same name but different parameters.

• Method overriding is an example of runtime polymorphism where a subclass provides its own imp...read more
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Q2. Difference between interface and abstract class
Ans. 
Interface defines only method signatures while abstract class can have both method signatures and implementations.
• An interface can be implemented by multiple classes while an abstract class can only be extended by one class.

• An abstract class can have constructors while an interface cannot.

• An abstract class can have non-abstract methods while an interface can only have abstract methods.

• An abstract class can have instanc...read more
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Q3. What is need of multiple inheritance ?
Ans. 
Multiple inheritance allows a class to inherit from multiple parent classes.
• It allows for code reuse and promotes modularity.

• It can be useful in situations where a class needs to inherit properties and methods from multiple unrelated classes.

• It can lead to the diamond problem, where a class inherits from two classes that have a common parent class, causing ambiguity in method calls.

• Languages like C++ and Python support
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Q1. General introduction questions
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Q1. Basic questions
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Q1. Tell me about yourself
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Q1. Tell me about yourself Do you know that annotations
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Q1. Qualification About adas
Ans. 
Qualifications related to ADAS (Advanced Driver Assistance Systems)
• Knowledge of ADAS technologies and systems

• Experience with sensor fusion and computer vision algorithms

• Understanding of automotive safety standards and regulations

• Proficiency in programming languages like C++ and Python

• Ability to work with large datasets and machine learning models
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Q2. Adas labeling What are the features of AI AND ML
Ans. 
AI and ML features include pattern recognition, predictive analytics, and decision-making capabilities.
• Pattern recognition: AI and ML algorithms can identify patterns in data to make predictions.

• Predictive analytics: AI and ML can analyze data to forecast future outcomes.

• Decision-making capabilities: AI and ML systems can make decisions based on data analysis.

• Examples: Self-driving cars use AI for object recognition, r...read more
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Q3. Bio off my family My personal details Experience
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