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Python Testing and Debugging

Python Testing and Debugging - Important Points


1.

What is a unit test in Python?

A. A test that verifies the entire system

B. A test that verifies a single function or module

C. A test that verifies the user interface

D. A test that verifies the database

Discuss Work Space

Answer: option b

Explanation:

A unit test is a type of test that focuses on verifying a single function or module. It is used to ensure that each part of the code works as intended.


2. What is a regression test?

A. A test that verifies the entire system

B. A test that verifies a single function or module

C. A test that verifies changes made to the code do not cause existing functionality to break

D. A test that verifies the database

Discuss Work Space

Answer: option c

Explanation:

Regression testing is a type of testing that focuses on verifying changes made to the code do not cause existing functionality to break. It ensures that any changes made to the code do not have any adverse effects on the existing codebase.

3. What is a mock object in Python?

A. An object that simulates the behavior of a real object

B. An object that replaces a real object in a test

C. An object that verifies the behavior of a real object

D. An object that tests user interface interactions

Discuss Work Space

Answer: option b

Explanation:

A mock object is an object that replaces a real object in a test. It is used to simulate the behavior of a real object and is often used when testing code that depends on external services or systems.

4. What is a debugger in Python?

A. A tool used to test user interfaces

B. A tool used to analyze code performance

C. A tool used to verify database connections

D. A tool used to find and fix errors in code

Discuss Work Space

Answer: option d

Explanation:

A debugger is a tool used to find and fix errors in code. It allows developers to step through code line by line and inspect variables and program state to identify and resolve issues.

5. What is the purpose of code coverage in Python testing?

A. To verify the user interface

B. To verify database connections

C. To measure how much of the code is being tested

D. To measure how much of the code is being used by the user

Discuss Work Space

Answer: option c

Explanation:

Code coverage is used to measure how much of the code is being testeIt helps developers identify areas of the code that are not being tested and ensure that all code is being adequately tested.


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