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Python Try Except Finally MCQ with Answers for Students
What is one way the finally block enhances error handling in Python?
a. By managing only certain types of errors
b. By immediately stopping the entire program
c. By always running cleanup code, no matter what happens
d. By ignoring all exceptions in the try block
Option c – By always running cleanup code, no matter what happens
What is the key benefit of using cleanup routines in Python programs?
a. They allow replacing all errors with custom ones
b. They stop the program completely on failure
c. They guarantee the execution of necessary steps, even when errors occur
d. They make error handling unnecessary
Option c – They guarantee the execution of necessary steps, even when errors occur
Why is the finally block commonly used for cleanup in Python?
a. It deals only with particular exceptions
b. It forces the program to terminate early
c. It ensures that cleanup actions run regardless of any errors
d. It hides all errors that happen in the try block
Option c – It ensures that cleanup actions run regardless of any errors
In what way does the finally block improve error control in Python?
a. By skipping any exceptions that occur
b. By stopping the script as soon as an error appears
c. By always executing cleanup tasks
d. By replacing the need for try blocks
Option c – By always executing cleanup tasks
Why is the finally block important in Python exception handling?
a. It cancels all exceptions
b. It completely shuts down the program on error
c. It makes sure that important actions happen, no matter what
d. It removes the need for proper error management
Option c – It makes sure that important actions happen, no matter what
Which Python block is used to check for possible errors in code?
a. try
b. except
c. finally
d. None of the above
Option a – try
Which error is triggered when a numeric calculation exceeds its maximum allowed value?
a. StandardError
b. ArithmeticError
c. OverflowError
d. FloatingPointError
Option c – OverflowError
What is the maximum number of except blocks you can have with a single try block?
a. 0
b. 1
c. Multiple
d. More than none
Option d – More than none
In Python, what is meant by the term “exception”?
a. An error in the program’s syntax
b. An unexpected event that interrupts the standard execution of a program
c. A runtime message that warns the user
d. A situation that immediately stops the program
Option b – An unexpected event that interrupts the standard execution of a program
Which of the following keywords is used to manage exceptions in Python?
a. handle
b. try
c. except
d. catch
Option c – except
Which Python keyword is used to handle all types of exceptions?
a. catch
b. except all
c. catch all
d. except
Option d – except
What error occurs when trying to access an attribute that doesn’t exist in a Python object?
a. AttributeError
b. KeyError
c. TypeError
d. NameError
Option a – AttributeError
a. print_error()
b. message()
c. str()
d. str__()
Option c – str()
Why is the with statement useful in exception handling in Python?
a. To catch raised exceptions
b. To manage multiple exceptions
c. To properly manage resources and ensure files are closed automatically
d. To define user-created exceptions
Option c – To properly manage resources and ensure files are closed automatically
In Python, what role does the except block play in managing exceptions?
a. Runs code regardless of any exception
b. Catches and deals with raised exceptions
c. Used to create custom exception types
d. Ignores all exceptions
Option b – Catches and deals with raised exceptions
Which keyword allows you to trigger a specific exception manually in Python?
a. throw
b. raise
c. throw_exception
d. exception
Option b – raise
What is the main role of the finally block in exception handling?
a. Executes no matter if an exception was raised or not
b. Used to throw errors
c. Helps in catching exceptions
d. Used for declaring custom exceptions
Option a – Executes no matter if an exception was raised or not
Which keyword is used to manually raise exceptions in Python?
a. raise_exception()
b. throw()
c. exception()
d. raise
Option d – raise
What kind of error is generated when referencing a variable that hasn’t been defined?
a. NameError
b. KeyError
c. AttributeError
d. TypeError
Option a – NameError
Which keyword is used in Python to catch specific types of errors during exception handling?
a. except
b. error
c. handle
d. catch
Option a – except
Why do we use multiple except blocks in Python error handling?
a. To catch only one kind of exception
b. To cover every possible error
c. To manage various exceptions with different responses
d. To skip handling any errors
Option c – To manage various exceptions with different responses
Why should separate except blocks be written for different errors in Python?
a. It reduces clarity of the code
b. It makes the program run faster
c. It makes maintenance more difficult
d. It helps tailor the response for each type of error
Option d – It helps tailor the response for each type of error
When a Python error occurs, how do multiple except blocks behave?
a. The first matching except block is executed
b. All applicable except blocks run
c. The last matching except block is triggered
d. A random except block is selected
Option a – The first matching except block is executed
In Python, what happens if none of the except blocks match the raised exception?
a. A syntax error is thrown
b. The program throws an unhandled exception and stops
c. The script continues silently
d. An error message is printed, but the program keeps running
Option b – The program throws an unhandled exception and stops
What benefit does using more than one except block offer compared to just one?
a. It makes the code simpler
b. It lets you manage each error type in a specific way
c. It doesn’t change code clarity
d. It makes mistakes more likely
Option b – It lets you manage each error type in a specific way
How does Python decide the order in which to process multiple except blocks?
a. Based on a custom order set by the user
b. In a random order
c. In the sequence they appear in the code
d. From the last one to the first
Option c – In the sequence they appear in the code
What occurs if the same exception could be caught by more than one except block?
a. Python throws an error
b. Python considers this invalid
c. The last matching block is executed
d. Only the first suitable block handles it
Option c – The last matching block is executed
How should multiple exception types be handled in Python?
a. By listing them with commas in one except
b. By using semicolons to separate them
c. By putting one except block inside another
d. By writing separate except blocks for each error type
Option d – By writing separate except blocks for each error type
If a specific exception could be caught by more than one except block, what happens?
a. Python gets confused and throws an ambiguity error
b. The code becomes invalid
c. The final matching block is executed
d. The first matching block is used
Option d – The first matching block is used
What occurs in Python if an exception doesn’t match any of the exceptions specified in a multiple except block?
a. An unhandled exception is raised
b. The program displays a warning message
c. Execution continues quietly without any message
d. A syntax error is generated
Option a – An unhandled exception is raised
How does handling multiple exceptions within a single except block affect the flow of exception management in Python?
a. It depends entirely on the order in which exceptions are listed
b. The exceptions are handled in a random sequence
c. The interpreter throws an ambiguity error
d. There is no change to the exception handling flow
Option a – It depends entirely on the order in which exceptions are listed
When an exception matches a single except block in Python, what happens?
a. The last matching except block executes
b. Only the first matching except block runs
c. All matching except blocks execute one after another
d. An unhandled exception is triggered
Option b – Only the first matching except block runs
How are multiple exceptions within one except block handled by Python in terms of order?
a. Exceptions are handled in no particular order
b. Exceptions are handled in the exact order they appear
c. Exceptions are handled in reverse order
d. Exceptions are processed all at once
Option b – Exceptions are handled in the exact order they appear
If an exception doesn’t match any in the multiple except blocks, what happens?
a. A syntax error occurs
b. The code is considered invalid
c. An unhandled exception is thrown
d. The program keeps running without any notification
Option c – An unhandled exception is thrown
What impact does the sequence of exceptions have on handling when using multiple exceptions in one except block?
a. The order does not affect exception handling
b. The last listed exception has the highest priority
c. The first exception in the list has the highest priority
d. This causes ambiguity errors in the code
Option c – The first exception in the list has the highest priority
What benefit does a single except block handling multiple exceptions provide in Python?
a. Simplifies the code by reducing complexity
b. Prevents confusion in exception handling
c. Enhances the clarity of error tracking
d. Manages exceptions based on a predefined hierarchy
Option a – Simplifies the code by reducing complexity
How does Python prioritize exceptions listed within a multiple-exception except block?
a. The exception listed last has more precedence
b. Exceptions are handled in an arbitrary order
c. Exceptions are handled sequentially as defined
d. The exception listed first has greater precedence
Option c – Exceptions are handled sequentially as defined
When multiple exceptions are specified in a single except block, how are they handled in Python?
a. All exceptions are caught together simultaneously
b. Each exception must have its own except block
c. Only the first matching exception is caught and handled
d. The last matching exception is caught and processed
Option c – Only the first matching exception is caught and handled
How does including an else block influence the execution flow in Python’s exception handling?
a. It changes how the try block operates
b. It affects control flow only when exceptions occur
c. It causes an error if an exception is raised
d. It executes code only when no exceptions happen
Option d – It executes code only when no exceptions happen
What occurs if code inside the else block raises an exception in Python’s exception handling?
a. The exception remains unhandled
b. The except block catches and manages the exception
c. The program exits silently without any message
d. The else block does not run
Option a – The exception remains unhandled
At what point is the else block executed relative to the try block in Python?
a. Before the try block starts
b. After the try block, but only if an exception is raised
c. Before the except block executes
d. After the try block finishes successfully without exceptions
Option d – After the try block finishes successfully without exceptions
What role does the else clause serve in Python’s exception handling?
a. It catches all exceptions raised
b. It runs code regardless of exceptions
c. It defines user-created exceptions
d. It runs code only when no exceptions occur
Option d – It runs code only when no exceptions occur
How does the else block behave when exceptions are raised in Python?
a. It runs before the except block
b. It has no effect on exception handling
c. It always causes an unhandled exception
d. It does not run if an exception happens
Option d – It does not run if an exception happens
Which describes the general behavior of the else clause in Python exception handling?
a. It runs every time, even if an exception occurs
b. It runs only if an exception happens
c. It executes only when no exception is raised
d. It executes before the try block
Option c – It executes only when no exception is raised
What happens if an exception occurs inside the try block but isn’t handled, while there is an else block?
a. The else block is executed
b. The exception remains unhandled and causes an error
c. The except block manages the exception
d. A syntax error occurs in the code
Option b – The exception remains unhandled and causes an error
What is the main purpose of the else clause in Python’s try-except structure?
a. To catch exceptions
b. To run code irrespective of exceptions
c. To create new exceptions
d. To execute code only if no exception was raised
Option d – To execute code only if no exception was raised
Why do programmers raise exceptions explicitly in Python?
a. To hide errors in the program
b. To manage errors and keep the program running
c. To deliberately signal error conditions
d. To prevent errors from ever happening
Option c – To deliberately signal error conditions
How can an exception be explicitly raised in Python code?
a. By using the raise keyword
b. Through the try block
c. By defining it inside a function
d. Using the assert statement
Option a – By using the raise keyword
Which Python statement is used to trigger a user-defined exception?
a. throw
b. raise
c. trigger
d. assert
Option b – raise
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