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LLDsystem_design~10 mins

Why creational patterns manage object creation in LLD - Test Your Understanding

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Practice - 5 Tasks
Answer the questions below
1fill in blank
easy

Complete the code to create an object using a creational pattern.

LLD
object = [1]()
Drag options to blanks, or click blank then click option'
AFactory
BBuilder
CSingleton
DObserver
Attempts:
3 left
💡 Hint
Common Mistakes
Choosing Observer which is for event handling, not creation.
2fill in blank
medium

Complete the code to ensure only one instance of a class is created.

LLD
class Singleton:
    _instance = None

    def __new__(cls):
        if [1] is None:
            cls._instance = super().__new__(cls)
        return cls._instance
Drag options to blanks, or click blank then click option'
Acls.instance
Bcls
Ccls._instance
Dcls._singleton
Attempts:
3 left
💡 Hint
Common Mistakes
Using cls.instance which is not defined.
3fill in blank
hard

Fix the error in the Builder pattern method to return the final product.

LLD
class Builder:
    def __init__(self):
        self.product = []

    def add_part(self, part):
        self.product.append(part)

    def get_result(self):
        return [1]
Drag options to blanks, or click blank then click option'
Aself
Bproduct
Cpart
Dself.product
Attempts:
3 left
💡 Hint
Common Mistakes
Returning 'product' without self causes a NameError.
4fill in blank
hard

Fill both blanks to create a Factory method that returns a new object.

LLD
def factory_method(type):
    if type == 'A':
        return [1]()
    else:
        return [2]()
Drag options to blanks, or click blank then click option'
AProductA
BProductB
CProductC
DProductD
Attempts:
3 left
💡 Hint
Common Mistakes
Using the same product class for both types.
5fill in blank
hard

Fill all three blanks to complete the Singleton pattern implementation.

LLD
class Singleton:
    _instance = None

    def __new__(cls):
        if [1] is None:
            [2] = super().__new__(cls)
        return [3]
Drag options to blanks, or click blank then click option'
Acls._instance
Dcls
Attempts:
3 left
💡 Hint
Common Mistakes
Using different variable names causing errors.

Practice

(1/5)
1. Why do creational design patterns manage object creation in software design?
easy
A. To separate the process of creating objects from their usage, improving flexibility
B. To make the code run faster by avoiding object creation
C. To reduce the number of objects created to save memory
D. To enforce strict typing of objects in the system

Solution

  1. Step 1: Understand the purpose of creational patterns

    Creational patterns focus on how objects are created, aiming to separate creation from usage.
  2. Step 2: Identify the benefit of this separation

    This separation allows the system to be more flexible and easier to maintain or extend.
  3. Final Answer:

    To separate the process of creating objects from their usage, improving flexibility -> Option A
  4. Quick Check:

    Object creation separation = Flexibility [OK]
Hint: Creational patterns separate creation from use for flexibility [OK]
Common Mistakes:
  • Thinking creational patterns only improve speed
  • Confusing object creation with memory optimization
  • Assuming creational patterns enforce type rules
2. Which of the following is the correct syntax to implement a simple Factory Method pattern in Python?
easy
A. def Factory(): return Product()
B. class Factory: def create(self): return Product()
C. class Factory: def create(): return Product()
D. class Factory: def create(self): return Product

Solution

  1. Step 1: Check method definition with self parameter

    In Python, instance methods must have 'self' as the first parameter.
  2. Step 2: Verify the method returns an instance, not a class

    The method should return an instance of Product, so 'Product()' is correct, not 'Product'.
  3. Final Answer:

    class Factory: def create(self): return Product() -> Option B
  4. Quick Check:

    Method with self and returns instance = class Factory: def create(self): return Product() [OK]
Hint: Instance methods need 'self' and return object instances [OK]
Common Mistakes:
  • Omitting 'self' in method definition
  • Returning class instead of instance
  • Defining method without parameters
3. Given the following code snippet implementing a Singleton pattern, what will be the output?
class Singleton:
    _instance = None
    def __new__(cls):
        if cls._instance is None:
            cls._instance = super().__new__(cls)
        return cls._instance

obj1 = Singleton()
obj2 = Singleton()
print(obj1 is obj2)
medium
A. False
B. Error
C. True
D. None

Solution

  1. Step 1: Understand Singleton __new__ method behavior

    The __new__ method ensures only one instance is created by storing it in _instance.
  2. Step 2: Check if obj1 and obj2 refer to the same instance

    Both obj1 and obj2 call Singleton(), which returns the same _instance object.
  3. Final Answer:

    True -> Option C
  4. Quick Check:

    Singleton returns same instance = True [OK]
Hint: Singleton returns same object, so 'is' comparison is True [OK]
Common Mistakes:
  • Assuming new instance created each call
  • Confusing 'is' with '=='
  • Expecting None or error output
4. Identify the error in the following Builder pattern implementation snippet:
class Builder:
    def __init__(self):
        self.product = Product()
    def build_part(self):
        self.product.add('part')
    def get_product(self):
        return self.product

builder = Builder()
builder.build_part()
product = builder.get_product()
print(product.parts)
medium
A. print statement syntax is incorrect
B. build_part method does not add parts correctly
C. get_product method returns None instead of product
D. Product class is not defined, causing a NameError

Solution

  1. Step 1: Check for class definitions used

    The code uses 'Product' but does not define it anywhere, leading to NameError.
  2. Step 2: Verify other method correctness

    Methods build_part and get_product are syntactically correct assuming Product exists.
  3. Final Answer:

    Product class is not defined, causing a NameError -> Option D
  4. Quick Check:

    Undefined Product class = NameError [OK]
Hint: Undefined classes cause NameError, check all class definitions [OK]
Common Mistakes:
  • Assuming Product class exists by default
  • Blaming method logic instead of missing class
  • Ignoring error messages
5. In a large system, why is it beneficial to use creational patterns like Abstract Factory instead of directly instantiating objects with new or constructors?
hard
A. It allows the system to create families of related objects without specifying their concrete classes
B. It guarantees the system uses less memory by reusing objects automatically
C. It forces all objects to be created at compile time for faster execution
D. It removes the need for interfaces or abstract classes in the design

Solution

  1. Step 1: Understand Abstract Factory pattern purpose

    This pattern provides an interface to create families of related objects without specifying their concrete classes.
  2. Step 2: Analyze benefits in large systems

    It improves scalability and flexibility by decoupling object creation from usage and allowing easy swapping of object families.
  3. Final Answer:

    It allows the system to create families of related objects without specifying their concrete classes -> Option A
  4. Quick Check:

    Abstract Factory = Create related objects flexibly [OK]
Hint: Abstract Factory creates related objects without concrete classes [OK]
Common Mistakes:
  • Thinking it reduces memory automatically
  • Believing it forces compile-time creation
  • Assuming it removes need for interfaces
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10 questions~5 mineasy hard