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Free Python Exception Handling MCQ for Practice
What occurs if an exception in Python is left unhandled?
a. The program keeps running as usual
b. The program stops and shows an error message
c. The exception is silently ignored
d. The program attempts to rerun the faulty code
Option b – The program stops and shows an error message
Why is the finally block used in Python’s exception handling?
a. To catch and process exceptions
b. To disregard any raised exceptions
c. To run code no matter what, even if an error happens
d. To build custom error types
Option c – To run code no matter what, even if an error happens
Which of the following is used in Python to raise exceptions intentionally?
a. raise_exception()
b. throw()
c. exception()
d. raise
Option d – raise
What error does Python throw when a variable is used before being declared?
a. SyntaxError
b. NameError
c. ValueError
d. TypeError
Option b – NameError
Why do we use the try block in exception handling in Python?
a. To manage exceptions directly
b. To run code that could possibly throw an error
c. To design user-defined exceptions
d. To avoid dealing with exceptions
Option b – To run code that could possibly throw an error
What will be the output of this code?
pythonCopyEdittry:
num = 10 / 0
except ZeroDivisionError:
print("Division by zero error.")
a. Division by zero error.
b. ZeroDivisionError.
c. Nothing will be printed
d. The exception will occur but remain unhandled
Option a – Division by zero error.
When does the else block in Python’s exception handling run?
a. If an exception is caught
b. No matter whether an error occurs or not
c. It is skipped in all cases
d. Only if no exception arises in the try block
Option d – Only if no exception arises in the try block
Which built-in function provides details about the most recent exception in Python?
a. last_exception()
b. exception_info()
c. sys.exc_info()
d. get_last_exception()
Option c – sys.exc_info()
What does the assert statement do in Python?
a. It processes exceptions
b. It triggers an exception manually
c. It helps create new exception classes
d. It checks if a condition is true and throws an error if not
Option d – It checks if a condition is true and throws an error if not
If no specific error type is mentioned, what kind of exceptions does the except block catch?
a. All kinds of exceptions
b. SyntaxError
c. NameError
d. ValueError
Option a – All kinds of exceptions
Which keyword is used to declare a custom exception in Python?
a. raise
b. create
c. exception
d. def
Option d – def
What is the reason for using multiple except blocks in Python?
a. To deal with one specific error only
b. To manage different kinds of exceptions separately
c. To capture every error type imaginable
d. To ignore all exceptions
Option a – To deal with one specific error only
Why is the assert keyword used in Python?
a. To create user-defined exception classes
b. To generate errors intentionally
c. To check if a condition is true and raise an error if not
d. To manage exception handling
Option c – To check if a condition is true and raise an error if not
After catching an exception in Python, how can one access its detailed information?
a. By calling sys.error_info()
b. By using exception.info()
c. By using sys.exc_info()
d. By calling get_exception_details()
Option c – By using sys.exc_info()
When does the else clause run in Python’s try-except-else structure?
a. It runs when an exception is caught
b. It runs whether an error occurs or not
c. It runs only when no exceptions are raised
d. It never runs
Option c – It runs only when no exceptions are raised
Which exception type can be used to catch any kind of error in Python?
a. Error
b. Exception
c. RuntimeError
d. AllError
Option b – Exception
What function should be used in Python to convert an exception into a readable string?
a. message()
b. exception_info()
c. str()
d. str__()
Option c – str()
How can you catch multiple specific exceptions in Python using one block?
a. except All
b. except (TypeError, ValueError)
c. catch
d. exception
Option b – except (TypeError, ValueError)
In Python, what does the with statement help you achieve when handling exceptions?
a. Managing many types of exceptions
b. Automatically managing file and resource cleanup
c. Catching every possible error
d. Defining new exception types
Option b – Automatically managing file and resource cleanup
What kind of error is triggered when trying to use a non-existent attribute in a Python object?
a. KeyError
b. AttributeError
c. ValueError
d. NameError
Option b – AttributeError
What is the role of the raise keyword in Python?
a. To respond to errors when they occur
b. To define a new kind of error
c. To catch unexpected situations
d. To confirm if a condition is true
Option b – To define a new kind of error
What happens if a Python error occurs and it is not addressed by any exception handler?
a. The program runs as usual
b. The program crashes and displays an error
c. The code block is retried automatically
d. A simple warning is shown on screen
Option b – The program crashes and displays an error
How can a single except block manage several exceptions in Python?
a. By using a wildcard symbol (*)
b. By grouping all exception types inside parentheses
c. By using a reserved word like ‘multiple’
d. It cannot be done; every exception must have its own except block
Option b – By grouping all exception types inside parentheses
In Python, what role does the sequence of multiple except blocks play in exception handling?
a. The order makes no difference to exception handling
b. The last except block takes precedence
c. The first except block that matches is executed
d. It leads to a syntax error
Option c – The first except block that matches is executed
What occurs if an exception isn’t caught by any except block in Python?
a. A warning message is displayed
b. The program continues without producing any result
c. An uncaught exception is raised
d. It causes the program to enter an endless loop
Option c – An uncaught exception is raised
What impact does having multiple except blocks have on how exceptions are handled?
a. It depends entirely on the order of the blocks
b. It doesn’t influence the flow of control
c. The execution is random
d. It follows the sequence of the try block
Option a – It depends entirely on the order of the blocks
When multiple except blocks are present and an error happens, which one executes?
a. The last except block listed
b. Every except block runs at once
c. The first suitable except block that matches the exception
d. An error is generated
Option c – The first suitable except block that matches the exception
Why is it helpful to use distinct except blocks for different exception types in Python?
a. It boosts program efficiency
b. It makes the code easier to read and manage
c. It enables customized responses to different errors
d. It minimizes the likelihood of encountering exceptions
Option c – It enables customized responses to different errors
If no specific error type is mentioned in an except block, which exceptions will it handle?
a. All types of exceptions
b. Only SyntaxError
c. Only AttributeError
d. Only ValueError
Option a – All types of exceptions
How does a generic except block handle errors without a defined exception type?
a. It handles only syntax-related issues
b. It captures any error raised within the try block
c. It doesn’t catch anything
d. It processes only built-in exceptions
Option b – It captures any error raised within the try block
Which Python keyword is used to catch any kind of exception?
a. exception All
b. except All
c. catch All
d. except
Option b – except All
What is the main benefit of using one except block for multiple error types in Python?
a. Better readability of the code
b. Easier error management
c. Fewer lines of code
d. Uniform handling of diverse exceptions
Option d – Uniform handling of diverse exceptions
How can you handle more than one exception within a single except block?
a. List each exception type separated by commas
b. Use a wildcard (*) to catch all exceptions
c. Write a different except block for each exception
d. Enclose all exception types in a tuple inside parentheses
Option d – Enclose all exception types in a tuple inside parentheses
When a single except block lists multiple exception types in Python, how are exceptions processed?
a. Exceptions are handled in a random order
b. Only the last exception type listed is considered
c. The first matching exception encountered is handled
d. Every matching exception type is handled
Option c – The first matching exception encountered is handled
If an exception occurs that is not included in a multi-exception except block, what happens?
a. The program throws an ambiguity error
b. Execution proceeds silently without any output
c. The last exception type in the list is handled
d. An unhandled exception error is raised
Option d – An unhandled exception error is raised
What is the result if an exception occurs that doesn’t match any exception types specified in a single except block handling multiple exceptions?
a. The last exception type in the block is handled
b. An unhandled exception error is raised
c. Only the first matching exception is processed
d. The code triggers a syntax error
Option b – An unhandled exception error is raised
How does combining multiple exceptions into one except block influence the structure of Python code?
a. It limits flexibility in handling exceptions
b. It makes the code easier to read and manage
c. It complicates maintaining the code
d. It improves the traceability of errors
Option b – It makes the code easier to read and manage
Why might you choose to handle several exceptions using a single except block in Python?
a. To handle each exception type distinctly
b. To reduce the length of the code
c. To simplify the hierarchy of exceptions
d. To improve the clarity of error reporting
Option b – To reduce the length of the code
When multiple exception types are grouped in one except block, how does Python manage them?
a. All exceptions are caught at the same time
b. Each exception requires its own separate except block
c. Only the first matching exception is handled
d. The last matching exception in the list is handled
Option c – Only the first matching exception is handled
What benefit does grouping multiple exceptions into one except block offer?
a. Enables precise handling for each exception individually
b. Simplifies the code by avoiding repetitive blocks
c. Makes the code more complex
d. Enhances the program’s performance
Option b – Simplifies the code by avoiding repetitive blocks
What role does the else clause serve in Python’s exception handling?
a. It runs only if an exception has occurred
b. It ignores exceptions and always executes
c. It is used to declare custom exceptions
d. It executes only if the try block runs without exceptions
Option d – It executes only if the try block runs without exceptions
If an exception arises inside a try block that has an else clause, what happens to the else clause?
a. The else clause is skipped and does not run
b. The else clause executes regardless
c. The program crashes with an unhandled exception
d. The code generates a syntax error
Option a – The else clause is skipped and does not run
What is the main purpose of the else clause in exception handling within Python?
a. To handle exceptions when they occur
b. To execute code irrespective of exceptions
c. To create new exception types
d. To run only when no exceptions are raised
Option d – To run only when no exceptions are raised
What is the purpose of the raise statement in Python?
a. To handle exceptions
b. To suppress error messages
c. To stop the program abruptly
d. To explicitly trigger exceptions
Option d – To explicitly trigger exceptions
How can you raise a custom exception in Python?
a. By using a catch statement
b. By calling the raise statement with a specific exception
c. By creating a new exception class in the code
d. By placing it inside a try block
Option b – By calling the raise statement with a specific exception
What happens if an exception occurs but is not handled in Python?
a. The finally block still runs
b. The program stops execution
c. The exception block is retried
d. A syntax error is raised
Option b – The program stops execution
What is the main role of raising exceptions in Python?
a. To manage errors and keep running
b. To hide errors from the user
c. To skip error handling
d. To indicate and handle errors
Option d – To indicate and handle errors
Which keyword is used to manually trigger an exception in Python?
a. throw
b. except
c. raise
d. trigger
Option c – raise
Why is the raise statement used in Python?
a. To ignore exceptions
b. To declare new exceptions
c. To handle errors smoothly
d. To purposely cause exceptions
Option d – To purposely cause exceptions
What is the correct way to raise custom exceptions in Python?
a. Using the assert keyword
b. Only inside a try block
c. By using raise with a defined exception class
d. By using a catch block
Option c – By using raise with a defined exception class
What happens if an exception is raised but not caught in Python?
a. The program runs silently without output
b. It causes an unhandled exception error
c. The finally block takes over
d. A syntax error occurs
Option b – It causes an unhandled exception error
Which statement is used to define and trigger custom exceptions in Python?
a. throw
b. create
c. generate
d. raise
Option d – raise
What is the main effect of raising exceptions in Python?
a. To stop the program from running
b. To manage errors while continuing execution
c. To hide errors
d. To immediately terminate the program
Option b – To manage errors while continuing execution
How does the raise statement affect program flow in Python?
a. It has no effect on flow
b. It stops the program immediately
c. It moves to the finally block
d. It changes flow by triggering exceptions
Option d – It changes flow by triggering exceptions
What is the key goal when raising exceptions in Python?
a. To avoid handling errors
b. To manage errors and recover
c. To interrupt execution
d. To signal and handle errors properly
Option d – To signal and handle errors properly
How can you raise a particular exception in Python?
a. Using the throw keyword
b. With the assert statement
c. By defining exceptions manually
d. By using raise with the specific exception
Option d – By using raise with the specific exception
We covered all the Free Python Exception Handling MCQ for Practice above in this post for free so that you can practice well for the exam.
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