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Python Exception Handling Interview Questions MCQ for Students
What benefit does managing exceptions inside functions offer in Python?
a. All exceptions are automatically ignored by the function
b. It helps organize and streamline how errors are handled in the program
c. Once defined, the function cannot raise any exceptions
d. It unnecessarily complicates the program logic
Option b – It helps organize and streamline how errors are handled in the program
What is the purpose of using a try block inside a Python function?
a. To define the core logic of the function
b. To perform regular function operations
c. To catch and manage possible errors during function execution
d. Python does not support try blocks within functions
Option c – To catch and manage possible errors during function execution
In what way does exception handling inside functions affect the overall structure of Python code?
a. It introduces syntax issues within the function
b. It organizes and centralizes error-handling tasks
c. It increases the number of lines, making the code more complex
d. It has no effect on how the code is structured
Option b – It organizes and centralizes error-handling tasks
What happens when exceptions are handled within a Python function?
a. All exceptions are hidden and ignored
b. The function can proceed even after an exception occurs
c. The function is guaranteed not to raise any errors
d. The function will stop running as soon as an exception is raised
Option b – The function can proceed even after an exception occurs
Why is it important to manage exceptions inside a function in Python?
a. To completely prevent exceptions from ever occurring
b. To handle problems during function execution in a controlled way
c. To immediately stop the function when an error appears
d. Because functions naturally avoid exceptions
Option b – To handle problems during function execution in a controlled way
How are errors typically handled in a Python function?
a. By using only an except block
b. By combining a try block with an except block
c. By skipping error handling completely
d. By relying on the function to ignore any errors
Option b – By combining a try block with an except block
What occurs if a function throws an exception but does not handle it?
a. The function jumps back to a previous line
b. The function continues running as if nothing happened
c. The error goes unhandled, causing the function to stop
d. The function deals with the exception on its own
Option c – The error goes unhandled, causing the function to stop
What is a standard way to manage exceptions within a function?
a. Using only a finally block to catch exceptions
b. Assuming the function will handle errors automatically
c. Applying both try and except blocks to deal with potential errors
d. Writing code in a way that ensures no errors can occur
Option c – Applying both try and except blocks to deal with potential errors
How does incorporating exception handling into functions affect error control in Python?
a. It removes the need to manage errors completely
b. It makes managing errors more complicated
c. It improves error handling by keeping it contained within functions
d. It has no noticeable impact on how errors are managed in the code
Option c – It improves error handling by keeping it contained within functions
Which built-in exception is triggered when a module, class, or function is requested but not available?
a. ModuleNotFoundError
b. ObjectNotFoundError
c. ResourceNotFoundError
d. MissingElementError
Option a – ModuleNotFoundError
Which Python exception occurs when an object cannot be used as a key in a dictionary due to being unhashable?
a. HashError
b. UnhashableError
c. NotHashableError
d. TypeError
Option b – UnhashableError
Which built-in error is raised when a numerical value exceeds the maximum size allowed by a data type?
a. SizeError
b. OverflowError
c. LargeValueError
d. CapacityError
Option b – OverflowError
What exception is raised in Python when a function is provided with an argument of an unexpected kind?
a. ImproperArgumentError
b. InvalidArgumentError
c. TypeError
d. ArgumentError
Option c – TypeError
Which exception occurs when the number of placeholders in a format string doesn’t match the number of arguments?
a. MismatchError
b. FormatError
c. ValueError
d. TypeError
Option b – FormatError
Which built-in exception indicates that a string or operation has an invalid format?
a. InvalidFormatError
b. FormatError
c. InvalidOperationError
d. StringFormatError
Option b – FormatError
Which exception is raised when trying to open a file or directory that doesn’t exist?
a. AccessError
b. NonexistentError
c. FileNotFoundError
d. DirectoryError
Option c – FileNotFoundError
Which built-in error occurs when trying to iterate beyond the available items in an iterator?
a. EndIterationError
b. StopIteration
c. NoMoreElementsError
d. NoElementError
Option b – StopIteration
What Python exception indicates an operation has gone beyond the acceptable limits of a built-in type?
a. RangeError
b. LimitError
c. MemoryError
d. OverflowError
Option d – OverflowError
Which exception is raised when performing an operation on an empty slice?
a. EmptySliceError
b. NoSliceError
c. IndexError
d. SliceError
Option c – IndexError
Which error is raised when a specified key is not found in a dictionary?
a. NoKeyError
b. KeyNotFoundError
c. MissingKeyError
d. KeyError
Option d – KeyError
Which Python exception occurs when the argument passed is of the right type but holds an invalid value?
a. ValueError
b. TypeError
c. InappropriateValueError
d. ArgumentValueError
Option a – ValueError
What exception is raised when a sequence index is outside the allowable range?
a. RangeError
b. IndexError
c. SubscriptError
d. OutOfBoundsError
Option b – IndexError
Which built-in exception occurs when a requested attribute or method doesn’t exist in an object?
a. AttributeError
b. MethodError
c. MissingAttributeError
d. AttributeNotFoundError
Option a – AttributeError
Which Python exception is triggered when an invalid memory operation is performed?
a. MemoryError
b. MemoryAccessError
c. IllegalMemoryError
d. OutOfMemoryError
Option a – MemoryError
What exception does Python raise when the recursion limit is surpassed?
a. MaxRecursionError
b. RecursionError
c. DepthError
d. RecursionDepthError
Option b – RecursionError
In Python, which error occurs when trying to access a non-existent key in a dictionary?
a. KeyNotFoundError
b. MissingKeyError
c. NotFoundException
d. KeyError
Option d – KeyError
How would you define a custom exception in Python?
a. Errors recognized by the Python engine
b. Errors that result from user inputs
c. Special error types written by developers
d. Standard exceptions available in Python by default
Option c – Special error types written by developers
Why are user-defined exceptions used in Python?
a. To prevent built-in errors from triggering
b. To make error handling more complex
c. To allow developers to define custom error types
d. To eliminate Python’s native exceptions
Option c – To allow developers to define custom error types
What is the correct method to define a custom exception in Python?
a. By modifying existing built-in exceptions
b. Only through use of try blocks
c. By using third-party libraries
d. By defining a class that extends the Exception base class
Option d – By defining a class that extends the Exception base class
What is the main role of custom exceptions in Python?
a. To take precedence over all built-in exceptions
b. To give another method for managing errors
c. To streamline the error-handling process
d. To handle specific types of errors
Option d – To handle specific types of errors
What should a custom exception class in Python inherit from?
a. list
b. BaseException
c. StandardError
d. Exception
Option d – Exception
Why might a programmer choose to use custom exceptions?
a. To silence all error messages
b. To deal only with predefined exceptions
c. To handle specific types of issues more effectively
d. To skip the need for handling errors
Option c – To handle specific types of issues more effectively
What is the correct way to raise a custom exception in Python?
a. Using a catch block
b. With the raise statement and the custom class
c. Only by placing it in a try block
d. By calling the class name directly
Option b – With the raise statement and the custom class
What’s important to keep in mind while creating custom Python exceptions?
a. Rewriting core Python exceptions
b. Targeting specific, unique problem cases
c. Replacing Python’s built-in exceptions
d. Skipping less important errors
Option b – Targeting specific, unique problem cases
What is the key benefit of creating your own exceptions in Python?
a. To make error handling simpler
b. To completely avoid exceptions
c. To make debugging more confusing
d. To override system-defined exceptions
Option a – To make error handling simpler
What is the main reason for defining custom exceptions in Python?
a. To display generic error messages
b. To disable all built-in exceptions
c. To handle specific error situations uniquely
d. To override the default error handling by the interpreter
Option c – To handle specific error situations uniquely
In what way do user-defined exceptions differ from Python’s built-in exceptions?
a. They do not need explicit handling
b. They come with fixed error messages
c. They provide more specialized error management
d. They are raised automatically without any code
Option c – They provide more specialized error management
What should be the key focus when creating custom exceptions in Python?
a. Designing vague and unclear exceptions
b. Using the same error message for every case
c. Making exceptions specific and meaningful
d. Avoiding the use of any error handling
Option c – Making exceptions specific and meaningful
What is a notable benefit of using user-defined exceptions in Python?
a. They make error handling more complex
b. They don’t offer advantages over built-in exceptions
c. They allow handling of distinct error situations
d. They replace the standard exceptions in Python
Option c – They allow handling of distinct error situations
How do user-defined exceptions improve the process of error handling?
a. By making error management general and unspecific
b. By reducing code readability
c. By allowing tailored handling for particular errors
d. By hiding all errors that occur in the code
Option c – By allowing tailored handling for particular errors
What is the recommended way to manage user-defined exceptions in Python?
a. Ignore them to keep code simple
b. They are handled automatically by Python
c. Use try and except blocks like built-in exceptions
d. Handle them only inside finally blocks
Option c – Use try and except blocks like built-in exceptions
How do user-defined exceptions help make error handling more effective?
a. By handling only common errors
b. By introducing a one-size-fits-all error mechanism
c. By addressing unique error conditions precisely
d. By eliminating the need for any error handling
Option c – By addressing unique error conditions precisely
What is the preferred method for naming custom exceptions in Python?
a. Choose any generic names for easy use
b. Follow naming conventions that clearly describe the error
c. Avoid using names related to the error context
d. Use single-letter names for simplicity
Option b – Follow naming conventions that clearly describe the error
What is the key role of user-defined exceptions in Python?
a. To suppress all error notifications
b. To substitute built-in exceptions
c. To define and control specific error types
d. To eliminate the use of error handling
Option c – To define and control specific error types
How do custom exceptions assist in managing errors effectively in Python?
a. By dealing only with common errors
b. By providing a universal error handler
c. By focusing on handling rare or special error cases
d. By avoiding the need to handle errors at all
Option c – By focusing on handling rare or special error cases
What happens to the finally block during the execution of Python’s exception handling?
a. It runs only if no exception is raised in the try block
b. It executes every time, regardless of whether an exception occurs or not
c. It runs before the try block begins
d. It executes after all exceptions are handled
Option b – It executes every time, regardless of whether an exception occurs or not
How does the finally block influence the control flow in Python exception handling?
a. It redirects control to the except block
b. It stops the program immediately
c. It guarantees that certain cleanup operations run
d. It ignores any exceptions that may arise
Option c – It guarantees that certain cleanup operations run
What is the main responsibility of the finally block in Python’s error handling?
a. To manage all types of exceptions
b. To only handle some exceptions raised in the try block
c. To ensure that specific code runs whether or not an exception happens
d. To replace the try block entirely
Option c – To ensure that specific code runs whether or not an exception happens
In Python’s exception mechanism, what is the fundamental purpose of the finally block?
a. To take the place of the try block
b. To solely control exception handling
c. To make sure designated code is executed no matter what
d. To suppress all exceptions raised in the try block
Option c – To make sure designated code is executed no matter what
What role does the finally block serve in Python’s exception handling process?
a. It manages only particular exceptions
b. It guarantees execution of certain code, regardless of exceptions
c. It blocks any exceptions from happening
d. It runs before the try block starts
Option b – It guarantees execution of certain code, regardless of exceptions
How does the finally block improve error handling in Python?
a. By handling only errors in the try block
b. By immediately stopping the program’s execution
c. By executing essential cleanup steps every time
d. By ignoring all exceptions within the try block
Option c – By executing essential cleanup steps every time
What is the main goal of predefined cleanup actions in Python?
a. To effectively manage exceptions
b. To run specific code when an error occurs
c. To perform certain actions regardless of exceptions
d. To eliminate the need for exception handling altogether
Option c – To perform certain actions regardless of exceptions
How does Python implement predefined cleanup operations?
a. Using a special cleanup keyword
b. Through a separate cleanup function
c. Via the finally block placed after the try block
d. Only within the except block
Option c – Via the finally block placed after the try block
Why are predefined cleanup actions vital in Python’s error management?
a. They prevent exceptions from occurring
b. They help bypass exceptions
c. They ensure critical steps are always executed, no matter what
d. They remove the necessity for try and except blocks
Option c – They ensure critical steps are always executed, no matter what
Which Python statement is responsible for running predefined cleanup code?
a. finalize
b. end
c. complete
d. finally
Option d – finally
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