Carelon Global Solutions Associate Software Engineer Interview Questions, Process, and Tips

Apptitude+ coding medium level

Q1. Explain how DL is different from ML
Ans. 
DL uses neural networks with multiple layers to learn complex patterns, while ML uses algorithms to learn from data.
• DL uses deep neural networks with multiple layers, while ML uses simpler algorithms like decision trees or SVMs.

• DL requires large amounts of data to train effectively, while ML can work with smaller datasets.

• DL is more computationally intensive and requires more processing power compared to ML.

• DL is bette...read more
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Q2. Explain concept of oops
Ans. 
Object-oriented programming paradigm that focuses on objects and classes for code organization and reusability.
• Encapsulation: Bundling data and methods that operate on the data into a single unit (object)

• Inheritance: Ability of a class to inherit properties and behavior from another class

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

• Abstraction: Hiding the complex implementation details an
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Q3. Encapsulation and inheritance practical examples
Ans. 
Encapsulation and inheritance are key concepts in object-oriented programming.
• Encapsulation: hiding the internal state of an object and restricting access to it. Example: using private variables and public methods in a class.

• Inheritance: allowing a class to inherit properties and behavior from another class. Example: a 'Dog' class inheriting from an 'Animal' class.
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Q4. Questions on Certifications
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Q5. Questions on Reasearch paper ( I have done so) and resume based questions
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It was aptitude and coding test containing 3 sections for MCQs l, each section had it's own time limit. After that there was a section for coding, 2 questions easy and medium level difficultly.

Q1. Introduction and few personality evaluation questions.
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Q2. Expalin your Projects and functioning of novel features.
Ans. 
I have worked on projects involving the development of novel features such as machine learning algorithms for predictive analytics.
• Developed machine learning algorithms to predict customer churn in a telecom company.

• Implemented natural language processing techniques for sentiment analysis in social media data.

• Created a recommendation system based on collaborative filtering for an e-commerce platform.
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Q3. Compare the python and java programming language based on their use cases.
Ans. 
Python is versatile and easy to learn, while Java is more robust and widely used in enterprise applications.
• Python is known for its simplicity and readability, making it a popular choice for beginners and rapid development.

• Java is statically typed and has a strong emphasis on object-oriented programming, making it suitable for large-scale projects and enterprise applications.

• Python is commonly used for web development,...read more
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Q4. Tree Data Structure and it's variations.
Ans. 
Tree data structure is a hierarchical data structure with nodes connected by edges.
• Variations include binary trees, binary search trees, AVL trees, red-black trees, etc.

• Trees can be used to represent hierarchical relationships like file systems, organization structures, etc.

• Traversal methods include in-order, pre-order, post-order, and level-order traversal.
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Just a simple aptitude test with some technical questions and 2 coding questions.

Q1. Regarding your project
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Q2. Basic array, string, linked list coding problems they asked.
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Total of 30 Questions consisting 30 Aptitude

1 Question on basic DSA on arrays(easy) level of 30 mins

Q1. Introduce yourself, Where are You from and r u willing to relocate
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Q2. Write a code of angstrom number?
Ans. 
Angstrom number is a number whose sum of cubes of digits is equal to the number itself.
• Take input number

• Separate digits

• Cube each digit

• Sum the cubes

• Compare with input number
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Q3. Explain your project and libraries used with working?
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Q4. Explain 4 pillars of OOPs concept?
Ans. 
The 4 pillars of OOPs are Abstraction, Encapsulation, Inheritance, and Polymorphism.
• Abstraction: Hiding complex implementation details and showing only essential features.

• Encapsulation: Binding data and functions together to protect data from outside interference.

• Inheritance: Creating new classes from existing ones, inheriting properties and methods.

• Polymorphism: Ability of objects to take on multiple forms, allowing f
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