Certified Associate in Python Programming - 2025 Practice Test

PCAP-31-03 Exam Format | Course Contents | Course Outline | Exam Syllabus | Exam Objectives

EXAM CODE: PCAP-31-03
EXAM NAME: Certified Associate in Python Programming

SCORES:
Section 1 → 6 items, Max Raw Score: 12 (12%)
Section 2 → 5 items, Max Raw Score: 14 (14%)
Section 3 → 8 items, Max Raw Score: 18 (18%)
Section 4 → 12 items, Max Raw Score: 34 (34%)
Section 5 → 9 items, Max Raw Score: 22 (22%)

The test candidate who has passed the PCAP-31-03 exam demonstrates the following proficiency in Python programming:
- an ability to design, develop and improve multi-module computer applications coded in Python
- an ability to analyze and model real-life problems in OOP categories
- experience allowing her/him to take a job as a junior developer
- sufficient skills to create and develop her/his own programming portfolio
- the potential to use Python in everyday life applications including DIY activities

Section 1: Modules and Packages
Section 2: Exceptions
Section 3: Strings
Section 4: Object-Oriented Programming
Section 5: Miscellaneous


Modules and Packages (12%)
PCAP-31-03 1.1 – Import and use modules and packages

import variants: import, from import, import as, import *
advanced qualifying for nested modules
the dir() function
the sys.path variable
PCAP-31-03 1.2 – Perform evaluations using the math module

functions: ceil(), floor(), trunc(), factorial(), hypot(), sqrt()
PCAP-31-03 1.3 – Generate random values using the random module

functions: random(), seed(), choice(), sample()
PCAP-31-03 1.4 – Discover host platform properties using the platform module

functions: platform(), machine(), processor(), system(), version(), python_implementation(), python_version_tuple()
PCAP-31-03 1.5 – Create and use user-defined modules and packages

idea and rationale;
the __pycache__ directory
the __name__ variable
public and private variables
the __init__.py file
searching for/through modules/packages
nested packages vs. directory trees

Exceptions (14%)
PCAP-31-03 2.1 – Handle errors using Python-defined exceptions

except, except:-except, except:-else:, except (e1, e2)
the hierarchy of exceptions
raise, raise ex
assert
event classes
except E as e
the arg property
PCAP-31-02 2.2 – Extend the Python exceptions hierarchy with self-defined exceptions

self-defined exceptions
defining and using self-defined exceptions

Strings (18%)
PCAP-31-03 3.1 – Understand machine representation of characters

encoding standards: ASCII, UNICODE, UTF-8, code points, escape sequences
PCAP-31-03 3.2 – Operate on strings

functions: ord(), chr()
indexing, slicing, immutability
iterating through strings, concatenating, multiplying, comparing (against strings and numbers)
operators: in, not in
PCAP-31-03 3.3 – Employ built-in string methods

methods: .isxxx(), .join(), .split(), .sort(), sorted(), .index(), .find(), .rfind()

Object-Oriented Programming (34%)
PCAP-31-03 4.1 – Understand the Object-Oriented approach

ideas and notions: class, object, property, method, encapsulation, inheritance, superclass, subclass, identifying class components
PCEP-31-03 4.2 – Employ class and object properties

instance vs. class variables: declarations and initializations
the __dict__ property (objects vs. classes)
private components (instances vs. classes)
name mangling
PCAP-31-03 4.3 – Equip a class with methods

declaring and using methods
the self parameter
PCAP-31-03 4.4 – Discover the class structure

introspection and the hasattr() function (objects vs classes)
properties: __name__, __module__ , __bases__
PCAP-31-03 4.5 – Build a class hierarchy using inheritance

single and multiple inheritance
the isinstance() function
overriding
operators:
not is
, is
polymorphism
overriding the __str__() method
diamonds
PCAP-31-03 4.6 – Construct and initialize objects

declaring and invoking constructors

Miscellaneous (22%)
PCAP-31-03 5.1 – Build complex lists using list comprehension

list comprehensions: the if operator, nested comprehensions
PCAP-31-03 5.2 – Embed lambda functions into the code

lambdas: defining and using lambdas
self-defined functions taking lambdas as arguments
functions: map(), filter()
PCAP-31-03 5.3 – Define and use closures

closures: meaning and rationale
defining and using closures
PCAP-31-03 5.4 – Understand basic Input/Output terminology

I/O modes
predefined streams
handles vs. streams
text vs. binary modes
PCAP-31-03 5.5 – Perform Input/Output operations

the open() function
the errno variable and its values
functions: close(), .read(), .write(), .readline(), readlines()
using bytearray as input/output buffer

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PCAP-31-03 PDF Sample Questions

PCAP-31-03 Sample Questions

Question: 298
What is the purpose of the __sub__() method in a Python class?
A. To define how the - operator can be used with the object.
B. To define the initial state of the object when it is created.
C. To define the methods that can be called on the object.
D. To define the attributes that the object will have.
Answer: A
Explanation: The __sub__() method in a Python class is used to define how the - operator can be used with the object. This can be useful for objects that represent values or collections that can be subtracted from each other, such as numbers or sequences.
Question: 299
Which of the following is not a valid method for the list data type in Python?
A. append()
B. insert()
C. remove()
D. divmod()
Answer: D
Explanation: divmod() is not a valid method for the list data type. It is a built-in function in Python that returns the quotient and remainder of a division operation.
Question: 300
What is the purpose of the __setitem__() method in a Python class?
A. To enable setting of individual elements of the object
B. To define the initial state of the object
C. To specify the default behavior when the object is printed
D. To enable the object to be used in mathematical operations
Answer: A
Explanation: The __setitem__() method in a Python class is used to enable setting of individual elements of the object. This method is called when you attempt to assign a value to an element of the object using square brackets, like obj[index] = value. By implementing this method, you can define custom behavior for how the object should respond to item assignment operations.
Question: 301
What is the output of the following code?
def func(x, y): return x + y
func_var = func print(func_var(2, 3))
A. 5
B. 6
C. TypeError: func_var() takes 2 positional arguments but 3 were given
D. NameError: name 'func_var' is not defined
Answer: A
Explanation: The func function is assigned to the variable func_var. When func_var(2, 3) is called, it invokes the func function with the arguments 2 and 3, which returns 5.
Question: 302
What is the output of the following code?
def foo(x):
try:
return 10 / x
except ZeroDivisionError:
return 'Cannot divide by zero'
print(foo(2))
print(foo(0))
A. 5.0, 'Cannot divide by zero'
B. 5.0, 0
C. 5, 'Cannot divide by zero'
D. 5.0, 'Cannot divide by zero'
Answer: D
Explanation: The foo function takes an argument x and attempts to divide 10 by x inside a try block. If a ZeroDivisionError occurs, the function returns the string 'Cannot divide by zero'. When foo(2) is called, the function returns 5.0, which is then printed. When foo(0) is called, the ZeroDivisionError is raised, and the function returns the string 'Cannot divide by zero', which is then printed. The output of the code is 5.0, 'Cannot divide by zero'.
Question: 303
What is the output of the following code?
a = [1, 2, 3, 4, 5] b = a a.remove(3) print(b)
A. [1, 2, 4, 5]
B. [1, 2, 3, 4, 5]
C. [1, 2, 3, 4]
D. [1, 2, 3, 4, 5, 1, 2, 4, 5]
Answer: A
Explanation: In the given code, a and b are both references to the same list object. When the remove(3) method is called on a, it removes the first occurrence of the value 3 from the list. Since b is a reference to the same list, the change made to a is reflected in b as well, and the output is [1, 2, 4, 5].
Question: 304
What is the purpose of the __delitem__() method in a Python class?
A. To enable deletion of individual elements of the object
B. To define the initial state of the object
C. To specify the default behavior when the object is printed
D. To enable the object to be used in mathematical operations
Answer: A
Explanation: The __delitem__() method in a Python class is used to enable deletion of individual elements of the object. This method is called when you attempt to delete an element of the object using the del keyword, like del obj[index]. By implementing this method, you can define custom behavior for how the object should respond to item deletion operations.
Question: 305
What is the output of the following code snippet?
def my_func(x, y): return round(x / y)
print(my_func(10, 3))
A. 3
B. 3.0
C. 3.33
D. 4
Answer: D
Explanation: The my_func takes two parameters x and y and returns the result of x / y rounded to the nearest integer. When my_func(10, 3) is called, it performs the division 10 / 3, which results in 3.3333, and then rounds it to the nearest integer, which is 4.
Question: 306
What is the output of the following code?
a = [1, 2, 3, 4, 5]
b = a
a = [10, 20, 30]
print(a, b)
A. [10, 20, 30] [10, 20, 30]
B. [10, 20, 30] [1, 2, 3, 4, 5]
C. [1, 2, 3, 4, 5] [10, 20, 30]
D. [1, 2, 3, 4, 5] [1, 2, 3, 4, 5]
Answer: B
Explanation: In the given code, a and b are initially assigned the same list object. However, when a is reassigned to a new list [10, 20, 30], the reference to the original list is lost, and b still points to the original list [1, 2, 3, 4, 5].
Question: 307
What is the output of the following code snippet?
def my_func(x, y): return len(str(x * y))
print(my_func(12, 34))
A. 4
B. 5
C. 6
D. 7
Answer: C
Explanation: The my_func takes two parameters x and y, multiplies them, converts the result to a string, and then returns the length of the string. When my_func(12, 34) is called, the result of 12 * 34 is 408, which has a string length of 3. Therefore, the output is 6.
Question: 308
What is the output of the following code?
try:
x = 1 / 0
except ZeroDivisionError:
print("ZeroDivisionError occurred")
finally:
print("Finally block executed")
A. ZeroDivisionError occurred Finally block executed
B. Finally block executed
C. ZeroDivisionError occurred
D. TypeError: unsupported operand type(s) for /: 'int' and 'int'
Answer: A
Explanation: The code attempts to divide 1 by 0, which raises a ZeroDivisionError. This error is caught in the except block, and the message "ZeroDivisionError occurred" is printed. Regardless of whether an exception is raised or not, the finally block is always executed, and the message "Finally block executed" is printed.
Question: 309
Which of the following statements about the __new__ method in a Python class is true?
A. It is used to define the behavior of the type() function when used with the class.
B. It is used to define the behavior of the isinstance() function when used with an instance of the class.
C. It is used to define the behavior of the class statement when creating a new class.
D. It is used to define the behavior of the object() function when creating a new instance of the class.
Answer: C
Explanation: The __new__ method in a Python class is used to define the behavior of the class statement when creating a new class, allowing you to customize the creation of the class itself.
Question: 310
What is the output of the following code?
class A: def __init__(self, x): self.x = x
def method(self): print("A's method")
class B(A): def __init__(self, x, y): A.__init__(self, x) self.y = y obj = B(1, 2) print(obj.x, obj.y)
A. 1 2
B. 2 1
C. AttributeError: 'B' object has no attribute 'x'
D. TypeError: init() missing 1 required positional argument: 'y'
Answer: A
Explanation: The B class inherits from the A class and adds the y attribute in its __init__ method. When the obj instance of B is created, the __init__ method of the A class is called with the x argument, and the y argument is assigned to the y attribute of the B class. Therefore, the output is 1 2.
Question: 311
What is the output of the following code?
class A: def __init__(self): self.x = 1
class B(A): def __init__(self): super().__init__() self.x = 2
a = A() b = B() print(a.x, b.x)
A. 1 1
B. 1 2
C. 2 2
D. An error will be raised
Answer: B
Explanation: In the given code, the A class has an __init__ method that initializes the x attribute
to 1. The B class inherits from A and also has an __init__ method that calls the __init__ method of the parent class (A) using super().__init__(), and then sets the x attribute to 2. When instances of A and B are created and their x attributes are printed, the output is 1 2, as the x attribute of the B instance is overwritten by the assignment in the B class's __init__ method.
Question: 312
What is the output of the following code snippet?
def my_func(x, y): return x ** y
print(my_func(2, 3))
A. 6
B. 8
C. 9
D. 16
Answer: D
Explanation: The my_func takes two parameters x and y and returns the result of x ** y, which is the exponentiation operation (raising x to the power of y). When my_func(2, 3) is called, it returns the result 2 ** 3 = 8.
Question: 313
What is the output of the following code?
def foo(x, y=1, *args, z=2, **kwargs): print(x, y, args, z, kwargs) foo(0, 1, 2, 3, 4, z=5, a=6, b=7)
A. 0 1 (2, 3, 4) 5 {'a': 6, 'b': 7}
B. 0 1 (2, 3, 4, z=5) {'a': 6, 'b': 7}
C. 0 1 (2, 3, 4) 2 {'z': 5, 'a': 6, 'b': 7}
D. 0 1 (2, 3, 4, 5) {'a': 6, 'b': 7}
Answer: A
Explanation: In the given function signature, x is the first positional argument, y is the second positional argument with a default value of 1, *args collects all the remaining positional arguments into a tuple, z is a keyword-only argument with a default value of 2, and **kwargs collects all the remaining keyword arguments into a dictionary. When the function is called, the arguments are mapped to the corresponding parameters, and the values are printed as specified.
Question: 314
What is the output of the following code?
def func(a, b=1, *args, c=2, **kwargs): print(a, b, args, c, kwargs)
func(5, 6, 7, 8, c=9, d=10, e=11)
A. 5 6 (7, 8) 9 {'d': 10, 'e': 11}
B. 5 6 (7, 8) 2 {'c': 9, 'd': 10, 'e': 11}
C. 5 1 (7, 8) 9 {'c': 9, 'd': 10, 'e': 11}
D. 5 6 (7, 8) 2 {'d': 10, 'e': 11}
Answer: A
Explanation: The function func() takes the following parameters:
a: a required positional argument
b: an optional positional argument with a default value of 1
*args: a tuple of any additional positional arguments c: an optional keyword argument with a default value of 2
**kwargs: a dictionary of any additional keyword arguments When func(5, 6, 7, 8, c=9, d=10, e=11) is called, the arguments are mapped as follows:
a is 5
b is 6
args is the tuple (7, 8)
c is 9 (overriding the default value of 2)
kwargs is the dictionary {'d': 10, 'e': 11}
Therefore, the output is 5 6 (7, 8) 9 {'d': 10, 'e': 11}.
Question: 315
What is the output of the following code?
class A: def __init__(self): self.x = 1
def __repr__(self): return f"A(x={self.x})"
a = A() print(a)
A. A(x=1)
B.
C. A
D. 1
Answer: A
Explanation:
The __repr__ method in the A class returns a string representation of the object,
which is used when the object is printed. When print(a) is called, it calls the __repr__ method of the A class, which returns "A(x=1)".
Question: 316
What is the purpose of the __iter__ and __next__ methods in a Python class?
A. To define the behavior of the for loop when iterating over the object.
B. To define the behavior of the in operator when used with the object.
C. To define the behavior of the len() function when used with the object.
D. To define the behavior of the next() function when used with the object.
Answer: A
Explanation: The __iter__ and __next__ methods in a Python class are used to define the behavior of the for loop when iterating over the object, allowing it to be used as an iterator.
Question: 317
What is the output of the following code?
def func(x, y): return x + y
print(func(2, 3) * func(3, 4))
A. 25
B. 49
C. 70
D. 77
Answer: B
Explanation: The func(2, 3) call returns 5, and the func(3, 4) call returns 7. The expression func(2, 3) * func(3, 4) then evaluates to 5 * 7 = 35.
Question: 318
What is the purpose of the init.py file in a Python package?
A. It is used to define the package's entry point.
B. It is used to specify the package's dependencies.
C. It is used to initialize the package's global variables.
D. It is used to define the package's modules and subpackages.
Answer: D
Explanation: The init.py file in a Python package serves the purpose of defining the package's modules and subpackages. When a package is imported, the init.py file is executed, and it can be used to perform various initialization tasks, such as setting up the package structure, importing necessary modules, or defining package-level functions and variables.
The other options are incorrect:
A- The entry point of a Python package is typically defined in the setup.py file, not the init.py file.
B- Package dependencies are usually specified in the setup.py file or in a requirements.txt file, not in the init.py file.
C- The init.py file can be used to initialize package-level variables, but this is not its primary purpose.
Question: 319
What is the output of the following code?
try:
x = 1 / 0
except ZeroDivisionError:
print("ZeroDivisionError caught")
else:
print("No exception occurred")
finally:
print("Executing the finally block")
A. ZeroDivisionError caught Executing the finally block
B. ZeroDivisionError caught No exception occurred Executing the finally block
C. No exception occurred Executing the finally block
D. ZeroDivisionError caught
Answer: A
Explanation: The try-except-else-finally block is executed as follows:
The try block attempts to divide 1 by 0, which raises a ZeroDivisionError.
The except block catches the ZeroDivisionError and prints "ZeroDivisionError
caught".
The else block is skipped because an exception occurred.
The finally block is executed, printing "Executing the finally block".
Question: 320
What is the output of the following code?
a = [1, 2, 3, 4, 5]
b = a[1:4]
c = a[:4]
d = a[:]
print(b, c, d)
A. [2, 3, 4] [1, 2, 3, 4] [1, 2, 3, 4, 5]
B. [2, 3, 4] [1, 2, 3, 4] [1, 2, 3, 4, 5]
C. [2, 3, 4] [1, 2, 3, 4] [1, 2, 3, 4, 5, 1, 2, 3, 4, 5]
D. [2, 3, 4] [1, 2, 3, 4] [1, 2, 3, 4, 5, 1, 2, 3, 4]
Answer: A
Explanation:
b = a[1:4] creates a new list containing the elements at indices 1, 2, and 3 (2, 3,
4) from the original list a.
c = a[:4] creates a new list containing the elements at indices 0, 1, 2, and 3 (1,
2, 3, 4) from the original list a.
d = a[:] creates a new list that is a copy of the original list a.
Question: 321
What is the output of the following code?
class A:
def __init__(self):
self.x = 1
self.y = 2
class B(A):
def __init__(self):
super().__init__()
self.z = 3
b = B()
print(b.x, b.y, b.z)
A. 1 2 3
B. 2 3 1
C. AttributeError
D. 1 2
Answer: A
Explanation: The B class inherits from the A class, so it has access to the x and y attributes defined in the A class. In the __init__ method of the B class, super().__init__() is called, which initializes the x and y attributes. The B class also defines its own z attribute, which is then printed along with x and y.
Question: 322
What is the output of the following code?
def func(a, b):
try:
c = a / b
print(c)
except ZeroDivisionError:
print("Error: Division by zero")
else:
print("Division successful")
func(10, 2)
func(10, 0)
A. 5.0, Error: Division by zero
B. 5.0, Division successful, Error: Division by zero
C. Division successful, Error: Division by zero
D. Error: Division by zero, Division successful
Answer: A
Explanation: The first call to func(10, 2) divides 10 by 2, which is successful, so the output is "5.0" followed by "Division successful". The second call to func(10, 0) divides 10 by 0, which raises a ZeroDivisionError, so the output is "Error: Division by zero".

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