Eoxys Systems Intern Interview Questions and Answers

Basics- logical, quantitative, english, programming based questions

Q1. Regarding my project
Add your answer
Q2. Write some basic programs
Add your answer
Q3. Biggest achievement
Ans. 
Graduating with honors and receiving an award for academic excellence
• Maintained a high GPA throughout college

• Received recognition from professors for outstanding performance

• Awarded a certificate for academic excellence at graduation
Answered by AI
Add your answer

Q1. Explain LinkedList
Ans. 
LinkedList is a data structure where each element is connected to the next element through a pointer.
• Each element in a LinkedList is called a node and contains data and a reference to the next node.

• LinkedList allows for dynamic size and efficient insertion and deletion of elements.

• Example: LinkedList can be used to implement a stack or queue data structure.
Answered by AI
Add your answer
Q2. Explain OOPS concept
Ans. 
OOPS (Object-Oriented Programming) is a programming paradigm based on the concept of objects, which can contain data and code.
• OOPS focuses on creating objects that interact with each other to solve problems

• It involves concepts like inheritance, encapsulation, polymorphism, and abstraction

• Example: Inheritance allows a class to inherit properties and behavior from another class
Answered by AI
Add your answer

Basics aptitude and reasing and basic ml

Q1. Basics of machine learning and deep leari
Add your answer

Hackerrank assessment with 2 coding questions

Q1. HR Round was Easy one
Add your answer

It was easy. It was basic question.

It was a bit diff as everyone was a bit aggressive

Q1. It was long and difficult.
Add your answer
Q2. Tel about all ml algo
Ans. 
Machine learning algorithms are used to analyze data, make predictions, and automate decision-making processes.
• ML algorithms can be categorized into supervised, unsupervised, and reinforcement learning.

• Examples of ML algorithms include linear regression, decision trees, support vector machines, k-means clustering, and neural networks.

• ML algorithms require labeled data for supervised learning and can learn patterns from
Answered by AI
Add your answer

Two questions and aptitude questions

Two data structures and algorithms questions

Q1. Location preference
Add your answer