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Advanced Python with Django Framework

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Please, match the name of the pattern and its description.

Encapsulates a request as an object.

Allows a client to create families of objects without specifying their concrete classes.

Decouples an abstraction from its implementation so they can vary independently.

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Define one to many dependency between objects so that when one object change state, all its dependent are notified and updated automatically.

Mediator

❌

Chain of responsibility

Event Notification

Observer

Which of the following pattern refers to creating duplicate object while keeping performance in mind?

Prototype Pattern

Bridge Pattern

Builder Pattern

Filter Pattern

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Which of the following is true about design patterns?

Design patterns are solutions to general problems that software developers faced during software development.

All of the above.

Design patterns are obtained by trial and error by numerous software developers over quite a substantial period of time.

Design patterns represent the best practices used by experienced object-oriented software developers.

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Please, match the name of pattern and its description.

Encapsulates interchangeable behaviors and uses delegation to decide which one to use.

Wraps an object to control access to it.

Simplifies the interface of a set of classes.

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Attach additional responsibilities to an object dynamically. It provides a flexible alternative to subclassing for extending functionality.

Adapter

❌

Decorator

✅

Composite

❌

Chain of responsibility

❌

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Please, match the name of pattern and its description.

Lets you traverse a collection of objects without exposing its implementation.

Encapsulates state-based behaviors and uses delegation to switch between behaviors.

Wraps an object to provide new behavior.

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When writing to a CSV file using the writerow() method of the csv.DictWriter object, what must each key in the input dict represent? Below is an example:

with open('test_file.csv', mode='w') as csv_file:
    writer = csv.DictWriter(
        csv_file, 
        fieldnames=['first_col', 'second_col']
    )
    writer.writeheader()
    # This input dictionary is what the question is referring
    # to and is not necessarily correct as shown.
    writer.writerow({'key1':'value1', 'key2':'value2'})