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I applied via Naukri.com and was interviewed before Dec 2021. There were 3 interview rounds.
Programs based on oops concepts like string operations and patterns
Object-oriented programming concepts with real-time examples
Encapsulation - hiding internal details of an object, e.g. a car's engine
Inheritance - creating a new class from an existing one, e.g. a sports car from a car
Polymorphism - using a single interface to represent multiple entities, e.g. a shape interface for circle, square, etc.
Abstraction - focusing on essential features while hiding implementation details, e.g...
OOPs concepts are the fundamental principles of Object-Oriented Programming.
Encapsulation - binding data and functions together
Inheritance - creating new classes from existing ones
Polymorphism - ability of objects to take on many forms
Abstraction - hiding implementation details
Examples: class, object, inheritance, encapsulation, polymorphism, abstraction
Inheritance is a mechanism in object-oriented programming where a new class is created by inheriting properties of an existing class.
Inheritance allows code reusability and saves time and effort in coding.
The existing class is called the parent or base class, and the new class is called the child or derived class.
The child class inherits all the properties and methods of the parent class and can also add its own unique...
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I was interviewed in Dec 2024.
One of the node of a 3 node cluster is down. Explain the step by step process to troubleshoot the issue.
Shell script & terraform code output was asked.
posted on 25 Jan 2025
I was interviewed in Dec 2024.
A standardized assessment that measures a person's skills, cognitive abilities, and potential to perform in a specific role.
I was interviewed in Aug 2024.
I applied via Approached by Company and was interviewed in Jul 2024. There were 3 interview rounds.
It occurred on HackerRank.
I applied via Company Website and was interviewed in Dec 2024. There were 3 interview rounds.
Basic self evaluation test.
Handling class imbalance involves techniques like resampling, using different algorithms, and adjusting class weights.
Use resampling techniques like oversampling or undersampling to balance the classes.
Utilize algorithms that are robust to class imbalance, such as Random Forest, XGBoost, or SVM.
Adjust class weights in the model to give more importance to minority class.
Use evaluation metrics like F1 score, precision, r...
posted on 28 Nov 2024
I was interviewed in Jul 2024.
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Software Developer
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Bosch Global Software Technologies
Amdocs
Automatic Data Processing (ADP)
Carelon Global Solutions