Python Exception Handling - Practice Questions 2026 - Free Online Course

Mastering error management is a critical step for any developer aiming to write robust, production-ready code. This course is specifically designed to bridge the gap between theoretical knowledge and practical application through a comprehensive set of practice exams focused entirely on Python Exception Handling.

Why Serious Learners Choose These Practice Exams

In the world of software development, code rarely runs perfectly on the first try. Serious learners choose these practice exams because they go beyond simple syntax. We focus on teaching you how to anticipate failures, manage resources safely, and build resilient applications. By simulating real-world debugging challenges, these exams ensure you are prepared for technical interviews and professional projects alike.

Course Structure

This course is organized into six distinct levels to ensure a logical progression of difficulty:

Basics / Foundations: This section covers the fundamental syntax of try-except blocks. You will be tested on identifying standard built-in exceptions like ValueError, TypeError, and SyntaxError.
Core Concepts: Here, we dive deeper into the flow of execution. You will practice using else and finally blocks, understanding exactly when each segment of code executes during an error event.
Intermediate Concepts: This module focuses on raising exceptions intentionally and the hierarchy of Python exceptions. You will learn how to catch multiple exceptions and use exception objects to extract error messages.
Advanced Concepts: Learn to create and implement Custom Exception classes. This section also covers advanced topics like context managers, the "with" statement, and exception chaining using the "from" keyword.
Real-world Scenarios: Apply your knowledge to practical situations. These questions simulate logging errors in web applications, handling file I/O interruptions, and managing API timeout exceptions.
Mixed Revision / Final Test: A comprehensive final exam that pulls questions from all previous levels. This serves as a "readiness check" to ensure you have truly mastered Python Exception Handling.

Sample Questions

Question 1

What is the output of the following code snippet?

Python

try:

print(10 / 0)

except ZeroDivisionError:

print("Error: Division by zero")

else:

print("Success")

finally:

print("Task Complete")

Option 1: Error: Division by zero
Option 2: Error: Division by zero followed by Task Complete
Option 3: Error: Division by zero followed by Success
Option 4: Success followed by Task Complete
Option 5: Task Complete

Correct Answer: Option 2

Correct Answer Explanation: In Python, the try block fails due to division by zero, triggering the except ZeroDivisionError block, which prints "Error: Division by zero". The else block is skipped because an exception occurred. However, the finally block always executes regardless of whether an exception was raised or caught, printing "Task Complete".

Wrong Answers Explanation:

Option 1: Incorrect because it ignores the finally block, which is guaranteed to run.
Option 2: This is the correct flow.
Option 3: Incorrect because the else block only runs if the try block succeeds without any errors.
Option 4: Incorrect because the try block fails; "Success" will never print in this scenario.
Option 5: Incorrect because it misses the output from the except block which handled the specific error.

Question 2

Which keyword is used to manually trigger an exception in Python?

Option 1: throw
Option 2: catch
Option 3: raise
Option 4: except
Option 5: trigger

Correct Answer: Option 3

Correct Answer Explanation: In Python, the "raise" keyword is used to force a specific exception to occur. This is commonly used in validation logic or when creating custom error handling flows.

Wrong Answers Explanation:

Option 1: Incorrect. "throw" is used in languages like Java or C++, but not in Python.
Option 2: Incorrect. "catch" is the keyword used in other languages; Python uses "except".
Option 4: Incorrect. "except" is used to handle or catch an exception, not to trigger one.
Option 5: Incorrect. "trigger" is not a reserved keyword in Python for exception handling.

Course Benefits

Welcome to the best practice exams to help you prepare for your Python Exception Handling .