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About Introduction to Test Driven Development (TDD) Course
This course gives a thorough look at test-driven development (TDD). First, you’ll find out what automated testing is and why it’s important for making applications that can handle failure. You’ll learn about the basics of testing, such as test cases, testing levels, and the traditional release cycle.
Course Apply Link – Introduction to Test Driven Development (TDD)
Introduction to Test Driven Development (TDD) Quiz Answers
Week 01: Introduction to Test Driven Development (TDD) Quiz Answers
Quiz 01 : Introduction to Testing
Q1. At which level of the software testing process do developers test an individual component of the system?
- System testing
- Acceptance testing
- Integration testing
- Unit testing
Q2. During traditional release, what is the best environment to do performance testing?
- Production
- Staging
- Building
- Development
Q3. Behavior driven development (BDD) focuses on the behavior of the system as observed from which perspective?
- The outside
- The top
- The inside
- The bottom
Q4. Test driven development (TDD) has which of the following advantages?
- TDD keeps developers focused on the code’s purpose.
- TDD helps developers test individual components as a group.
- TDD reveals how the system performs from the client’s perspective.
- TDD uses a syntax that stakeholders can understand.
Q5. Why do developers use test cases?
- To limit the code’s scope
- To improve the code’s documentation
- To reduce the code’s length
- To ensure the code’s functionality
Quiz 02 : Introduction to Testing
Q1. Which aspects of your code can you test?
- Only aspects that you do not know of
- No aspects whether you know of them or not
- Only aspects that you know of
- All aspects that you do and do not know of
Q2. After cloning a new repository for a project on which you will work, what should be your next step?
- Shorten the code.
- Modify the code.
- Test the code.
- Export the code.
Q3. Testing has which of the following benefits for development?
- Improves code readability
- Decreases project budget
- Produces file backups
- Reduces development time
Q4. At which level of the software testing process do developers combine individual units and test them as a group?
- Integration testing
- System testing
- Acceptance testing
- Unit testing
Q5. In the software testing process, what is the purpose of acceptance level testing?
- Ensure that the entire system works together.
- Validate that each unit performs as designed.
- Reveal faults in the interaction between integrated units.
- Assess system compliance with business requirements.
Q6. During the traditional release cycle, in which environment do developers perform unit testing?
- Release
- Staging
- Production
- Development
Q7. Behavior driven development (BDD) has which of the following advantages?
- BDD ensures that each individual component works correctly.
- BDD uses a syntax that stakeholders can understand.
- BDD keeps developers focused on the code’s purpose.
- BDD works well with the waterfall approach to development.
Q8. Test driven development (TDD) focuses on how the system works as observed from which perspective?
- The inside
- The outside
- The bottom
- The top
Q9. Why do developers need both test driven development (TDD) and behavior driven development (BDD)?
- Developers use both TDD and BDD to communicate with clients.
- TDD and BDD together ensure that you are building the software right.
- TDD and BDD complement each other in the development process.
- Developers use both TDD and BDD to perform acceptance testing.
Q10. What purpose do test cases serve?
- Ensure code will never fail
- Improve code readability
- Identify bugs in the code
- Strengthen code cohesion
Week 02: Introduction to Test Driven Development (TDD) Quiz Answers
Quiz 01 : Methods for Test Driven Development
Q1. Which of the following features is available in Nose but missing in unittest?
- Providing verbose output
- Stopping the test run on first failure
- Running coverage automatically
- Indicating whether a test failed
Q2. What is an assertion?
- A function or method that creates objects
- A percentage of code that is executed in testing
- A statement that evaluates to either True or False
- A simulated object that mimics a real object’s behavior
Q3. Which of the following PyUnit assertions is useful for testing whether an object passed into it is the correct type returned from a function call?
- assertRegex()
- assertIsInstance()
- assertLogs()
- assertRaises()
Q4. What is the purpose of using happy paths in testing?
- Verify that functions respond to exceptions appropriately.
- Ensure that functions produce the expected output.
- Guarantee that tests execute in the correct initial state.
- Check that test resources are cleaned up after execution.
Q5. Why do developers use test fixtures?
- Produce cleaner and easier to read test results.
- Determine if tests have passed or failed.
- Report how many lines of code execute in testing.
- Establish a known initial state for testing.
Q6. Developers use test fixtures for which of the following situations?
- Loading a database with a known data set
- Decompressing the files of a testing archive
- Patching the behavior of a function under test
- Applying a stylesheet to a file collection
Q7. What are the three levels of specificity at which test fixtures can operate?
- Unit, integration, and system
- Module, test case, and test
- Variable, value, and function
- Object, class, and method
Quiz 02 : Methods for Test Driven Development
Q1. In the basic workflow for test driven development (TDD), what happens in the second step?
- Write the program code.
- Improve the code’s quality.
- Describe the system’s behavior.
- Create the test case.
Q2. To create a DevOps pipeline, which type of testing must developers use for all testing?
- Smoke testing
- Manual testing
- Exploratory testing
- Automated testing
Q3. Which of the following Python testing frameworks is built into Python?
- Doctest
- PyUnit
- RSpec
- Pytest
Q4. Which of the following commands can developers use to invoke Python with the unittest module and to run all the tests in the test folder?
- python -m unittest pattern
- python -m unittest catch
- python -m unittest discover
- python -m unittest locals
Q5. Which of the following features is available in Nose but missing in unittest?
- Displaying the length of time for running tests
- Reporting the number of tests run
- Adding color coding to test output
- Indicating whether any tests failed
Q6. In which of the following ways do testing frameworks help developers build assertions?
- Testing frameworks identify potential sad paths to test.
- Testing frameworks provide tools that simplify testing conditions.
- Testing frameworks set up the required file structure automatically.
- Testing frameworks generate fakes to test against a model.
Q7. What purpose do assertions serve in testing?
- Determining if tests have passed or failed
- Establishing a known initial state for testing
- Providing tools to simplify testing conditions
- Reporting how many lines of code execute during testing
Q8. What is the purpose of using sad paths in testing?
- Ensure that code produces only the expected output.
- Verify that functions respond to exceptions appropriately.
- Guarantee that tests execute in the correct initial state.
- Check that test resources are cleaned up after execution.
Q9. Test fixtures provide which of the following benefits for testing?
- Organized output
- Repeatable results
- Shorter code
- Improved communication
Q10. PyUnit provides six test fixtures. Assume you include all six in a test module. Which of the following sequences shows the order in which the test runner will execute the first three test fixtures?
- tearDownModule, setUpModule, setUpClass
- setUpModule, setUpClass, setUp
- setUpModule, tearDownModule, setUpClass
- setUpClass, setUp, setUpModule
Week 03: Introduction to Test Driven Development (TDD) Quiz Answers
Quiz 01 : Advanced Methods for Test Driven Development
Q1. What is test coverage?
- The percentage of functions that execute test cases
- The percentage of lines of code executed during testing
- The percentage of statements that evaluate to True during testing
- The percentage of test cases executed during testing
Q2. Why is continued testing important even at 100% test coverage?
- To identify the lines of code that still need tests
- To find additional bugs
- To increase the number of lines of code tested
- To improve the code’s readability
Q3. When generating fakes in Python, what is one purpose for using the Meta class inside the factory?
- Indicates the model class for which the factory will create fakes
- Creates additional test fixtures for each fake that needs them
- Provides information describing the purpose and number of fakes
- Generates a diverse sample of fake data for use in test assertions
Q4. Which of the following is a method for mocking?
- Functional call patch
- Test case assertions
- Test fixture data
- Factory fake generator
Q5. Which of the following is a patching technique available in Python’s mock library?
- Patching a function’s signature
- Patching a function’s name
- Patching a function’s complexity
- Patching a function’s return value
Quiz 02 : Advanced Methods for Test Driven Development
Q1. Why is high test coverage valuable for development?
- Increases likelihood that the code works as expected
- Produces results that are cleaner and easier to read
- Identifies code bloat that developers can remove
- Reduces time that each test takes to complete
Q2. Fake data is more practical to use than real data in which of the following testing situations?
- When testing requires multiple levels of setups and teardowns
- When testing requires only a small set of test data
- When testing requires patching one or more functions
- When testing requires a large amount of test data
Q3. When generating fakes in Python, what is one purpose for using the Meta class inside the factory?
- Selects a random choice from a given fake iterable
- Determines the attributes to use for generating data
- Provides information describing the purpose and number of fakes
- Generates a diverse sample of fake data for use in test assertions
Q4. How do developers test fakes generated by a factory?
- Developers test fakes just like real objects.
- Developers set the data for all variables manually on use.
- Developers do not call real methods.
- Developers add additional test fixtures.
Q5. What is mocking?
- A process for creating fake objects that mimic the behavior of real objects
- A process for creating a fake test case that stress tests a test runner
- A process for creating duplicate data for testing purposes
- A process for creating a fake data set that acts like sample data
Q6. Developers should use mocking for which of the following purposes?
- Include internal systems in their testing
- Avoid calls of untested code
- Ensure that database transactions actually work
- Isolate their tests from external systems
Q7. When patching, developers change the behavior of which of the following testing items?
- Testing factory
- Fake data
- Function call
- Entire object
Q8. For which of the following situations is it useful to patch return values with data?
- Testing objects with method calls
- Testing error handlers
- Testing mocks
- Testing objects that call other objects
Q9. Mock objects are useful in testing for which of the following reasons?
- Mock objects can improve code refactoring.
- Mock objects can create test fixtures.
- Mock objects can behave like real objects.
- Mock objects can generate unlimited test data.
Q10. In Python, how do you make a Mock object mimic a specific real object?
- A mock is generic and cannot mimic a specific real object.
- Specify the real object as a return value.
- Specify the name of the real object in the spec parameter.
- Subclass the real object.
Week 04: Introduction to Test Driven Development (TDD) Quiz Answers
Quiz 01 : Final Exam
Q1. Which of the following statements is a key principle of testing?
- You can save testing for the beta stage onward.
- You should run as few software tests as possible.
- You should prefer manual tests over automated tests.
- You can only test for the factors that you know.
Q2. Testing has which of the following benefits for development?
- Increases code readability
- Produces file backups
- Improves code quality
- Reduces project spending
Q3. At which level of the software testing process do developers test the entire software process?
- Unit testing
- Acceptance testing
- Integration testing
- System testing
Q4. What is the purpose of integration testing?
- Validate that each unit performs as designed
- Evaluate compliance with specific technical requirements
- Expose flaws in the interaction between components
- Assess the system’s acceptability for delivery
Q5. Behavior driven development (BDD) ensures which of the following for developers?
- Building correct software
- Bolstering customer service
- Identifying the code’s purpose
- Writing concise code
Q6. In the basic workflow for test driven development (TDD), what happens in the third step?
- Describe the system’s behavior.
- Improve the code’s quality.
- Create the test case.
- Write the program code.
Q7. In which Python testing framework can you use nearly an infinite number of setup and teardown levels?
- Pytest
- PyUnit
- Doctest
- RSpec
Q8. Assume you are using Python and have installed PyUnit, Nose, and Pinocchio. Which of the following commands can you use to perform unit tests and receive color-coded output?
- unittest –with-spec –cover-tests
- unittest –with-spec –spec-color
- nosetests –with-spec –spec-color
- nosetests –with-spec –cover-tests
Q9. Which of the following PyUnit assertions is useful for determining if an object is in a result set?
- assertIsInstance()
- assertLogs()
- assertRegex()
- assertIn()
Q10. PyUnit provides six test fixtures. Assume you include all six in a test module. Which of the following sequences shows the order in which the test runner will execute the final three test fixtures?
- tearDownClass, tearDownModule, tearDown
- tearDown, tearDownClass, tearDownModule
- setUpModule, tearDownModule, tearDown
- tearDownModule, setUpModule, tearDownClass
Q11. How does a missing test coverage report help developers improve their testing?
- Lists functions that respond to exceptions appropriately
- Reveals lines of code that need test cases
- Announces when no bugs remain in the code
- Shows the lines of code that have coverage
Q12. When generating fakes in Python, what is one advantage of using the Faker class to generate fake data?
- Uses a small amount of code
- Arranges the test results in a logical order
- Creates a diverse set of test data
- Decreases the number of attributes to test
Q13. Developers should use mocking for which of the following purposes?
- Avoid calls of untested code
- Ensure that database transactions actually work
- Include internal systems in their testing
- Isolate their tests from a remote component
Q14. For which of the following purposes is it useful to patch return values with data?
- Testing objects that call other objects
- Testing mocks
- Testing objects with method calls
- Controlling data returned from a function call
Q15. Developers use mock objects for which of the following purposes?
- Mimicking a real object
- Generating a data set
- Change a function call’s parameters
- Identifying a sad path
More About This Course
Developers who want to be successful need to not only make the right software, but also make it right. You need to test each unit of code to make sure your software works right. Test driven development is one of the best ways to do these unit-level tests.
This class gives a thorough look at test-driven development (TDD). First, you’ll find out what automated testing is and why it’s important for making applications that can handle failure. You’ll learn about the basics of testing, such as test cases, testing levels, and the traditional release cycle.
You’ll learn about test-driven development (TDD) and its partner, behavior-driven development (BDD): TDD checks how each piece of code works on its own, while BDD checks how these pieces work together.
Then you’ll look closely at TDD. You’ll learn about TDD’s benefits, ideas, and popular tools, and you’ll use hands-on labs to practise your new testing skills. You’ll write test assertions and build test fixtures to make TDD test cases, and you’ll use the Nose testing package to run these test cases. You’ll then try out more advanced TDD techniques, such as increasing code coverage, making and using fake data, and testing mock objects.
WHAT YOU’LL FIND OUT
- Explain why testing is important.
- Explain what test-driven development (TDD) is and why it’s good for DevOps.
- Make unit tests with test assertions and test fixtures, and then run the tests.
- Advanced TDD methods, such as coverage reports, factories, fakes, and mock objects, can help you improve unit testing.
SKILLS YOU WILL GAIN
- Test Case
- Software Testing
- Behavior-Driven Development
- Automated Testing
- Test-Driven Development
Conclusion
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