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Question 1 of 24
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What are decorators in Python? A Design patterns B Functions that add functionality to other functions C Programming languages D Built-in Python modules
Correct Answer: Option B β Functions that add functionality to other functions Detailed Academic Explanation: Decorators are functions that enhance or modify the behavior of other functions.
π‘ Key Conceptual Anchor: Decorators In Depth
Question 2 of 24
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How is a decorator defined in Python? A Using the @decorator syntax B By calling the decorator() function C Using the def keyword D Using the modify() keyword
Correct Answer: Option A β Using the @decorator syntax Detailed Academic Explanation: Decorators are defined using the @decorator_name syntax above a function definition.
π‘ Key Conceptual Anchor: Decorators In Depth
Question 3 of 24
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What is the primary purpose of using decorators? A To reduce code complexity B To replace existing functions C To add functionalities to functions D To remove functionalities from functions
Correct Answer: Option C β To add functionalities to functions Detailed Academic Explanation: Decorators are used to add or modify functionalities of functions without changing their code.
π‘ Key Conceptual Anchor: Decorators In Depth
Question 4 of 24
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How can you pass arguments to a decorator in Python? A By modifying the decorator's code B By using the @decorator syntax C By defining arguments within the function D By using the args keyword
Correct Answer: Option B β By using the @decorator syntax Detailed Academic Explanation: Arguments can be passed to decorators using the @decorator(arg) syntax.
π‘ Key Conceptual Anchor: Decorators In Depth
Question 5 of 24
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What is a common use case of decorators? A Replacing built-in functions B Adding logging or authentication to functions C Removing error handling from functions D Changing the function's name
Correct Answer: Option B β Adding logging or authentication to functions Detailed Academic Explanation: Decorators are often used to add features like logging, authentication, or authorization to functions.
π‘ Key Conceptual Anchor: Decorators In Depth
Question 6 of 24
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How does the order of applying multiple decorators matter? A It doesn't matter B It depends on the number of decorators C It affects the order of execution D It changes the function's return value
Correct Answer: Option C β It affects the order of execution Detailed Academic Explanation: The order of applying decorators can affect the order in which their functionalities are executed.
π‘ Key Conceptual Anchor: Decorators In Depth
Question 7 of 24
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What is a higher-order function in the context of decorators? A A function that returns a function B A function that takes a function as an argument C A function that only contains decorators D A function with multiple return statements
Correct Answer: Option B β A function that takes a function as an argument Detailed Academic Explanation: Higher-order functions accept functions as arguments and/or return functions as results.
π‘ Key Conceptual Anchor: Decorators In Depth
Question 8 of 24
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How do you create a decorator that takes arguments? A Using the @decorator syntax B By using the @decorator(arg) syntax C By using the @decorator() syntax D By using the decorator(arg) function
Correct Answer: Option B β By using the @decorator(arg) syntax Detailed Academic Explanation: A decorator that takes arguments is applied using the @decorator(arg) syntax.
π‘ Key Conceptual Anchor: Decorators In Depth
Question 9 of 24
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What is the purpose of the functools.wraps() function in decorators? A To create a new function B To modify the decorator's behavior C To preserve the original function's metadata D To remove a decorator
Correct Answer: Option C β To preserve the original function's metadata Detailed Academic Explanation: functools.wraps() preserves the original function's metadata when using decorators.
π‘ Key Conceptual Anchor: Decorators In Depth
Question 10 of 24
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What is the difference between a class-based decorator and a function-based decorator? A Class-based decorators use fewer resources B Class-based decorators can't accept arguments C Function-based decorators are more flexible D Function-based decorators are slower
Correct Answer: Option C β Function-based decorators are more flexible Detailed Academic Explanation: Function-based decorators are generally more flexible and can accept arguments more easily than class-based decorators.
π‘ Key Conceptual Anchor: Decorators In Depth
Question 11 of 24
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How is a decorator applied to a class method in Python? A By using the @decorator syntax above the class B By using the @decorator syntax above the method C By applying the decorator within the method D By using the apply_decorator() function
Correct Answer: Option B β By using the @decorator syntax above the method Detailed Academic Explanation: A decorator is applied to a class method using the @decorator syntax above the method definition.
π‘ Key Conceptual Anchor: Decorators In Depth
Question 12 of 24
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What is the purpose of the property decorator in Python? A To add properties to classes B To remove properties from classes C To define a getter method for a class attribute D To define a setter method for a class attribute
Correct Answer: Option C β To define a getter method for a class attribute Detailed Academic Explanation: The property decorator is used to define a getter method for a class attribute.
π‘ Key Conceptual Anchor: Decorators In Depth
Question 13 of 24
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What is the role of the @staticmethod decorator in Python? A To define static variables B To make a method callable without an instance C To add static typing to variables D To prevent method overriding
Correct Answer: Option B β To make a method callable without an instance Detailed Academic Explanation: The @staticmethod decorator allows a method to be called without creating an instance of the class.
π‘ Key Conceptual Anchor: Decorators In Depth
Question 14 of 24
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How does the @classmethod decorator differ from @staticmethod? A @classmethod can't access class attributes B @staticmethod can't access instance attributes C @classmethod can access class attributes D @staticmethod can access instance attributes
Correct Answer: Option C β @classmethod can access class attributes Detailed Academic Explanation: The @classmethod decorator can access class attributes, while @staticmethod cannot.
π‘ Key Conceptual Anchor: Decorators In Depth
Question 15 of 24
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What is the purpose of the @classmethod decorator in Python? A To define a class method B To define an instance method C To define a static method D To define a constructor method
Correct Answer: Option A β To define a class method Detailed Academic Explanation: The @classmethod decorator is used to define a method that operates on the class and not just instances.
π‘ Key Conceptual Anchor: Decorators In Depth
Question 16 of 24
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How is the @classmethod decorator applied to a method in a class? A Using the @classmethod syntax above the class B Using the @classmethod syntax above the method C Using the @classmethod decorator within the method D By using the apply_classmethod() function
Correct Answer: Option B β Using the @classmethod syntax above the method Detailed Academic Explanation: The @classmethod decorator is applied above the method definition using the @classmethod syntax.
π‘ Key Conceptual Anchor: Decorators In Depth
Question 17 of 24
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What is the purpose of the @abstractmethod decorator in Python? A To create abstract classes B To prevent method overriding C To indicate that a method must be overridden in subclasses D To define a method as static
Correct Answer: Option C β To indicate that a method must be overridden in subclasses Detailed Academic Explanation: The @abstractmethod decorator indicates that a method must be overridden in subclasses.
π‘ Key Conceptual Anchor: Decorators In Depth
Question 18 of 24
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How do you create a custom decorator in Python? A By modifying the built-in decorators B By using the @custom_decorator syntax C By importing decorators from external libraries D By defining a function and using the @ symbol
Correct Answer: Option D β By defining a function and using the @ symbol Detailed Academic Explanation: You create a custom decorator by defining a function and using the @decorator_name syntax.
π‘ Key Conceptual Anchor: Decorators In Depth
Question 19 of 24
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What is the purpose of the functools.partial function in decorators? A To create a partial function B To replace built-in functions C To preserve the original function's metadata D To modify the decorator's behavior
Correct Answer: Option A β To create a partial function Detailed Academic Explanation: The functools.partial function is used to create a new function with some arguments pre-filled.
π‘ Key Conceptual Anchor: Decorators In Depth
Question 20 of 24
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How can you remove a decorator from a function in Python? A By deleting the decorator's code B By using the @remove_decorator syntax C By using the @decorator syntax again D By calling the remove_decorator() function
Correct Answer: Option C β By using the @decorator syntax again Detailed Academic Explanation: You can remove a decorator by removing the @decorator syntax from the function.
π‘ Key Conceptual Anchor: Decorators In Depth
Question 21 of 24
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What is a memoization decorator used for? A To add logging to functions B To modify function behavior C To cache function results D To validate function inputs
Correct Answer: Option C β To cache function results Detailed Academic Explanation: A memoization decorator is used to cache the results of a function to improve performance.
π‘ Key Conceptual Anchor: Decorators In Depth
Question 22 of 24
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What is the purpose of the @lru_cache decorator in Python? A To limit the number of decorator applications B To cache the last used decorator C To cache function results with a limited size D To cache only class methods
Correct Answer: Option C β To cache function results with a limited size Detailed Academic Explanation: The @lru_cache decorator is used to cache function results with a limited size using the Least Recently Used strategy.
π‘ Key Conceptual Anchor: Decorators In Depth
Question 23 of 24
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How does the @contextmanager decorator facilitate context management? A By creating context managers automatically B By adding new context to existing managers C By wrapping functions with context management behavior D By removing context from code
Correct Answer: Option C β By wrapping functions with context management behavior Detailed Academic Explanation: The @contextmanager decorator allows a function to act as a context manager with the with statement.
π‘ Key Conceptual Anchor: Decorators In Depth
Question 24 of 24
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What is the purpose of the @dataclass decorator in Python? A To create data visualization B To add metadata to classes C To create a class for data manipulation D To simplify the creation of classes for storing data
Correct Answer: Option D β To simplify the creation of classes for storing data Detailed Academic Explanation: The @dataclass decorator simplifies the creation of classes for storing and manipulating data.
π‘ Key Conceptual Anchor: Decorators In Depth