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The PCPP1 Exam covers a wide range of topics, including data types, control structures, functions, modules, file handling, and object-oriented programming concepts. PCPP-32-101 exam also assesses the candidate's ability to write efficient and readable code, as well as their knowledge of best practices in Python programming. PCPP-32-101 exam consists of 40 multiple-choice questions and has a duration of 75 minutes.

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The PCPP1 exam covers a variety of topics, including basic data types, control structures, functions, modules, and error handling. Additionally, candidates will be tested on their ability to write and debug Python code, as well as their understanding of object-oriented programming concepts.

Python Institute PCPP1 - Certified Professional in Python Programming 1 Sample Questions (Q28-Q33):

NEW QUESTION # 28
Which sentence about the property decorator is false?

A. The @property decorator designates a method which is responsible for returning an attribute value
B. The property decorator marks the method whose name will be used as the name of the instance attribute
C. The property decorator should be defined before the methods that are responsible for setting and deleting an encapsulated attribute
D. The property decorator should be defined after the method that is responsible for setting an encapsulated attribute.

Answer: D

Explanation:
Explanation
The @property decorator should be defined after the method that is responsible for setting an encapsulated attribute is a false sentence. In fact, the @property decorator should be defined before the method that is used to set the attribute value. The @property decorator and the setter and deleter methods work together to create an encapsulated attribute, which is used to provide control over the attribute's value.

NEW QUESTION # 29
Select the true statements related to PEP 8 programming recommendations for code writing. (Select two answers:)

A. You should write code in a way that favors the CPython implementation over PyPy, Cython. and Jython.
B. 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.
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 not write string literals that rely on significant trailing whitespaces as they may be visually indistinguishable, and certain editors may trim them

Answer: C,D

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 # 30
What is wrong with the following snippet?
class A:
def run(self):
print("A is running")
class B(A):
def run(self):
print("B is running")
class C(A, B):
def fly(self):
print("C is flying")
c = C()

A. There are no __init__() methods - each class should implement this method.
B. There is no run() method defined for the C class.
C. It causes MRO inconsistency.
D. Nothing. The code is fine.

Answer: C

Explanation:
The issue is method resolution order, commonly called MRO. In Python multiple inheritance, the interpreter must build a consistent linear inheritance path for the class. Here, B already inherits from A, meaning B must appear before A in the resolution order. However, class C(A, B) asks Python to resolve A before B. These two requirements conflict, so Python cannot create a valid MRO for class C.
This results in a TypeError related to inconsistent method resolution order. The absence of an
__init__() method is not a problem because Python supplies a default initializer. Also, C can inherit run() if the inheritance order is valid.

NEW QUESTION # 31
Select the true statements about the json.loads() function.
(Select two answers.)

A. It takes Python data as its argument.
B. It returns a JSON string.
C. It returns a Python entity.
D. It takes a JSON string as its argument.

Answer: C,D

Explanation:
The correct answers are C and D. The json.loads() function is used for JSON deserialization. It accepts a JSON-formatted string, bytes, or bytearray and converts that serialized JSON data into an equivalent Python object. For example, a JSON object becomes a Python dictionary, a JSON array becomes a Python list, JSON strings become Python strings, and JSON numbers become Python numeric values.
Option A describes json.dumps(), which takes Python data and serializes it into JSON text. Option B is also incorrect because returning a JSON string is the job of json.dumps(), not json.loads(). Therefore, json.loads() takes JSON text as input and returns a Python entity.

NEW QUESTION # 32
Select the correct statements about the csv module.
(Select two answers.)

A. It is possible to create a DictWriter object without specifying a header.
B. A reader object maps each row to a list of strings.
C. The DictReader method always gets the header from the first line in the file.
D. A DictReader object maps each row to a dict.

Answer: B,D

Explanation:
The correct answers are B and D. In Python's csv module, a normal csv.reader object reads each CSV row as a list of strings, so option B is true. A csv.DictReader object reads each row into a dictionary, using field names as keys, so option D is also true. Option A is false because DictReader does not always take headers from the first row; field names can be provided explicitly through the fieldnames argument. Option C is false because DictWriter requires field names so it knows which dictionary keys correspond to CSV columns and in what order they should be written. This distinction between row lists and row dictionaries is central to CSV processing.

NEW QUESTION # 33
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