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Python Institute PCPP-32-101 Exam Syllabus Topics:

Section	Objectives
Topic 1: Python Standard Library and Best Practices	- File and data processing 1. Serialization (JSON, CSV) 2. Working with files and directories - Testing and debugging 1. Unit testing with unittest/pytest concepts 2. Debugging techniques
Topic 2: Network Programming and Communication	- Web communication basics 1. HTTP requests and APIs 2. Data exchange formats
Topic 3: GUI Programming	- Tkinter fundamentals 1. Widgets and layout management 2. Event handling
Topic 4: Advanced Object-Oriented Programming	- Class design and advanced inheritance 1. Abstract classes and interfaces 2. Multiple inheritance and MRO - Metaprogramming basics 1. Decorators and class decorators 2. Introspection techniques

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Python Institute PCPP1 - Certified Professional in Python Programming 1 Sample Questions (Q44-Q49):

NEW QUESTION # 44
What is true about a parameter named cls?

A. It is usually used as the first parameter of a class method.
B. It is usually used as a reference to a class instance.
C. It is the name of a module that delivers an abstract method decorator.
D. It is usually used as the first parameter of a static method.

Answer: A

Explanation:
The correct answer is C because cls is the conventional first parameter name used in class methods. A class method is defined with the @classmethod decorator, and Python automatically passes the class itself as the first argument when the method is called. This is similar to how self represents the instance in instance methods, but cls represents the class object, not an individual object. Static methods are different because they receive neither self nor cls automatically; they behave like regular functions placed inside a class namespace. Option A is incorrect because a class instance is conventionally referenced by self, not cls. Option D is unrelated to Python's method model.

NEW QUESTION # 45
What will be the content of the cars.xml file when you run the following code?
import xml.etree.ElementTree as ET
root = ET.Element('data')
car_1 = ET.SubElement(root, 'car', {'brand': 'Audi'})
car_2 = ET.SubElement(root, 'car', {'brand': 'Volkswagen'})
tree = ET.ElementTree(root)
tree.write('cars.xml', 'UTF-8', True)

A. < ?xml? >
< data > < car brand="Audi" / > < car brand="Volkswagen" / > < /data >
B. < ?xml version='1.0'? >
< data > < car brand="Audi" / > < car brand="Volkswagen" / > < /data >
C. < data > < car brand="Audi" / > < car brand="Volkswagen" / > < /data >
D. < ?xml version='1.0' encoding='UTF-8'? >
< data > < car brand="Audi" / > < car brand="Volkswagen" / > < /data >

Answer: D

Explanation:
The correct answer is C. The code creates an XML root element named data and then adds two child elements named car. Each car element receives a brand attribute, one with the value Audi and the other with the value Volkswagen. The statement tree.write('cars.xml', 'UTF-8', True) writes the XML document using UTF-8 encoding and explicitly enables the XML declaration through the third argument. Because the XML declaration is enabled, the output begins with < ?xml version='1.0' encoding='UTF-8'? > . The generated XML body then contains the data element with two self-closing car child elements. Options without the encoding declaration are therefore incomplete.

NEW QUESTION # 46
What is the result of the following code?
import configparser
config = configparser.ConfigParser()
config['DEFAULT'] = {}
config['mysql'] = {}
config['postgresql'] = {}
config['redis'] = config['postgresql']
print(config.sections())

A. ['mysql', 'postgresql', 'postgresql']
B. ['mysql', 'postgresql', 'redis']
C. ['DEFAULT', 'mysql', 'postgresql', 'redis']
D. ['DEFAULT', 'mysql', 'postgresql', 'postgresql']

Answer: B

Explanation:
The correct answer is B. The ConfigParser.sections() method returns a list of section names, but it does not include the special DEFAULT section. Therefore, even though config['DEFAULT'] = {} is present, DEFAULT is excluded from the printed result. The code then creates three regular sections: mysql, postgresql, and redis. Assigning config['redis'] = config['postgresql'] creates or updates a separate section named redis using the values from the postgresql section; it does not duplicate the section name postgresql in the section list. Therefore, the output contains only the normal section names: ['mysql',
'postgresql', 'redis'] .

NEW QUESTION # 47
Select the true statements related to PEP 8 programming recommendations for code writing. (Select two answers:)

A. You should not write string literals that rely on significant trailing whitespaces as they may be visually indistinguishable, and certain editors may trim them
B. You should write code in a way that favors the CPython implementation over PyPy, Cython. and Jython.
C. You should make object type comparisons using the ismstanceQ method (e.g. if isinstance (obj, int) :) instead of comparing types directly (eg if type(obj) is type(i)).
D. You should use the not ... is operator (e.g. if not spam is None:), rather than the is not operator (e.g.if spam is notNone:), to increase readability.

Answer: A,C

Explanation:
Explanation
The two true statements related to PEP 8 programming recommendations for code writing are Option B and Option D.
Option B is true because PEP 8 recommends making object type comparisons using the isinstance() method instead of comparing types directly 1.
Option D is true because PEP 8 recommends not writing string literals that rely on significant trailing whitespaces as they may be visually indistinguishable, and certain editors may trim them 1.

NEW QUESTION # 48
Look at the following examples of comments and docstrings in Python. Select the ones that are useful and compliant with PEP 8 recommendations. (Select the two best answers.)

A. def total_cost(q):
'''Takes the q argument and multiplies it by 1.15.'''
return q * 1.15
B. val = val + 1.15 # Compensate for diminished value.
C. def net_expense(q, price):
"""Return the total cost of items before tax."""
return q * price
D. n = n - 1 # Decrement n by 1.

Answer: B,C

Explanation:
The correct answers are A and C. Option A uses a concise one-line docstring that explains the function' s purpose in a useful way. It follows the common Python documentation style by describing what the function returns rather than repeating implementation mechanics. Option C is also useful because the inline comment explains why the value is being adjusted, not merely what the code already shows.
Option B is poor because it restates the obvious operation n = n - 1; such comments add noise instead of clarity. Option D is weaker because the docstring describes internal mechanics and argument handling rather than the function's intended result. Good Python comments should clarify intent, purpose, or non-obvious reasoning.

NEW QUESTION # 49
......

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