Solartis Technology Services Interview Questions, Process, and Tips

Q1. Four Pillars of OOPS in Java?
Ans. 
Encapsulation, Inheritance, Polymorphism, Abstraction are the four pillars of OOPS in Java.
• Encapsulation: Bundling data and methods that operate on the data into a single unit.

• Inheritance: Allows a class to inherit properties and behavior from another class.

• Polymorphism: Ability to present the same interface for different data types.

• Abstraction: Hiding the implementation details and showing only the necessary features.
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Q2. What is a constructor in Java?
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A constructor in Java is a special type of method that is used to initialize objects.
• Constructors have the same name as the class they are in.

• They do not have a return type, not even void.

• Constructors are called when an object of a class is created.

• Example: public class Car { public Car() { // constructor code } }
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20 General MCQs were asked

Group discussion on any topic

Q1. Self Introduction
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Q2. How do you see yourself as the right fit in Solartis?
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Q3. What was your college final project.
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Q1. Salary Discussion
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Q2. Terms and Conditions
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Logical thinking and quantitative

One Java and one SQL and one js question

Q1. What is collections
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Collections are data structures that store and organize multiple elements in a single unit.
• Collections provide methods to add, remove, and manipulate elements.

• Examples of collections include arrays, lists, sets, and maps.

• Collections can be used to efficiently manage and access large amounts of data.
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Q2. What is constructor
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A constructor is a special method in a class that is automatically called when an object of that class is created.
• Constructors have the same name as the class they belong to

• They are used to initialize the object's state

• Constructors can have parameters to customize the initialization process
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Q3. What is data science
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Data science is a field that uses scientific methods, algorithms, and systems to extract knowledge and insights from structured and unstructured data.
• Data science involves collecting, analyzing, and interpreting large amounts of data to make informed decisions.

• It combines statistics, machine learning, and domain knowledge to uncover patterns and trends in data.

• Data scientists use programming languages like Python and R...read more
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