This Object oriented programming (OOP) test evaluates candidates’ knowledge of OOP concepts and their ability to solve programming tasks by applying these concepts. This hiring test will help identify developers who are well versed in OOP.
Basic data types, variables & control flow
Objects & classes
Four principles of OOP
Abstract classes, interfaces and generics
Software engineers, frontend developers, backend developers, game developers, and any other roles requiring an intermediate grasp of Object oriented programming
Object oriented programming (OOP) provides a paradigm for designing code that is flexible, modular and abstract. Hiring developers who are well versed in OOP allows your business to build programs efficiently, while providing speed and quality to end-users.
This Object oriented programming test evaluates candidates’ ability to apply OOP principles to tackle problems concerning basic data types, variables, and control flow, objects and classes. It also covers candidates’ knowledge of four central principles of OOP: encapsulation, abstraction, inheritance, and polymorphism. Finally, this screening test also covers some more advanced OOP topics such as abstract classes and interfaces, exception classes, inner classes and generics.
The questions on this Object oriented programming test focus on different scenarios, creating applications useful in various fields. The questions are provided with examples of code in Java, but the core concepts are the same in all OOP-based languages, such as C++, C#, Python, PHP and Ruby.
Candidates who perform well on this test have an intermediate grasp of OOP concepts, and can find solutions for different problems surrounding the design of high-quality applications. This screening test will help you identify candidates who can build programs efficiently by applying OOP principles to their coding design.
Gary has been working in the data science field for more than three years and is proficient in the fields of machine learning and data analysis. He has a Bachelor’s degree in Economics and a Master’s degree in Computer Science. The combination of those two fields helps Gary to achieve even greater results. He is fond of computer science and loves to work on projects related to Artificial Intelligence which is, in his opinion, the future of our world.
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