This page lists down the practice tests / interview questions and answers for unit testing (general concepts) which applies for all programming languages. Those wanting to test their unit testing knowledge would find this test useful enough. The goal for this practice test is to help you do quick check of your knowledge in unit testing and prepare appropriately. More importantly, when you are preparing for interviews, these practice tests are intended to be handy enough. Those going for freshers / intern interviews in the area of programming language or for developer positions would also find these practice tests / interview questions to be very helpful.

Following topics have been covered as part of the test on this page:

  • Basic fundamentals/concepts around unit testing
  • Concepts related with test doubles
  • Concepts related with unit testing building blocks such as stub, mock, spy etc

Unit Testing Concepts (Brush up)

The following is quick notes for refreshing your concepts around unit testing:

  • Unit testing is testing block of code in isolation
  • Unit tests are intended to form the documentation for your code
  • It is difficult to write unit tests having high code coverage for code having high cyclomatic complexity
  • Unit tests uses test doubles such as stub, spy, mock for mocking external dependencies
  • It is important to do code refactoring and bring down code cyclomatic complexity to achieve high code coverage
  • It is easier to achieve higher code coverage if the block of code is cohesive enough.


Practice Tests on Unit Testing

[wp_quiz id=”5800″]

Please feel free to share your thoughts on concepts / interview questions / practice tests on unit testing listed on this page.


Ajitesh Kumar

I have been recently working in the area of Data analytics including Data Science and Machine Learning / Deep Learning. I am also passionate about different technologies including programming languages such as Java/JEE, Javascript, Python, R, Julia, etc, and technologies such as Blockchain, mobile computing, cloud-native technologies, application security, cloud computing platforms, big data, etc. I would love to connect with you on Linkedin. Check out my latest book titled as First Principles Thinking: Building winning products using first principles thinking.

Recent Posts

Agentic Reasoning Design Patterns in AI: Examples

In recent years, artificial intelligence (AI) has evolved to include more sophisticated and capable agents,…

2 months ago

LLMs for Adaptive Learning & Personalized Education

Adaptive learning helps in tailoring learning experiences to fit the unique needs of each student.…

2 months ago

Sparse Mixture of Experts (MoE) Models: Examples

With the increasing demand for more powerful machine learning (ML) systems that can handle diverse…

3 months ago

Anxiety Disorder Detection & Machine Learning Techniques

Anxiety is a common mental health condition that affects millions of people around the world.…

3 months ago

Confounder Features & Machine Learning Models: Examples

In machine learning, confounder features or variables can significantly affect the accuracy and validity of…

3 months ago

Credit Card Fraud Detection & Machine Learning

Last updated: 26 Sept, 2024 Credit card fraud detection is a major concern for credit…

3 months ago