menu

Python Testing and Debugging

Python Testing and Debugging - Important Points


26. What is the purpose of a debugger in Python?

A. To help identify and fix errors in code

B. To optimize code performance

C. To test user interface interactions

D. To generate documentation for code

Discuss Work Space

Answer: option a

Explanation:

A debugger is a tool used to identify and fix errors in code. Debuggers allow developers to step through code and examine the state of the program at specific points in the execution, helping to identify and resolve issues.

27. Which module in Python provides support for logging?

A. logging

B. log

C. logger

D. all of the above

Discuss Work Space

Answer: option a

Explanation:

Python provides support for logging through the logging module. This module allows developers to create log messages at various levels of severity and direct those messages to different destinations, such as a file or the console.

28. What is a traceback in Python?

A. A list of the functions that were called before an exception occurred

B. A list of the functions that will be called next

C. A list of the variables that are currently in scope

D. A list of the variables that were modified by the last function call

Discuss Work Space

Answer: option a

Explanation:

A traceback is a list of the functions that were called before an exception occurreIt provides information about the context in which the exception occurred and can be used to help identify the cause of the error.

29. What is an assertion in Python testing?

A. A statement that tests whether a condition is true

B. A statement that generates a warning message

C. A statement that terminates program execution

D. A statement that logs a message to a file

Discuss Work Space

Answer: option a

Explanation:

An assertion is a statement that tests whether a condition is true. If the condition is false, the assertion will raise an AssertionError, indicating that the code is not functioning as expected.

30. Which tool in Python can be used for static code analysis?

A. PyLint

B. Flake8

C. Bandit

D. all of the above

Discuss Work Space

Answer: option d

Explanation:

Python provides multiple tools for static code analysis, including PyLint, Flake8, and Bandit. These tools can be used to identify issues in code that may not be caught by other testing methods, such as unused variables or potential security vulnerabilities.


Subscribe for Latest Career Trends
Subscribe Now
Use AI and ChatGPT for Career Guidance

Unlock Your Future

Join Now
Worried for Placements in 2024?

Join FAST TRACK Course

Join Now
Supercharge Your SUCCESS

Join All in One Placement Mock Tests-2024

Join Now