Certified Associate in Python Programming (PCAP-31-03) Practice Exam

The Certified Associate in Python Programming (PCAP-31-03) is a globally recognized credential offered by the Python Institute. It shows that someone has a solid understanding of the basics of Python, one of the most popular programming languages today. This certification proves that a person can write simple code, solve problems using Python, and understand how computer programs work.

This certification is like a beginner’s badge for anyone who wants to start a career in programming. It helps freshers show employers that they know how to write and understand Python code. Getting this certification is a great first step before moving on to more advanced programming roles or certifications.

 

Who should take the Exam?

This exam is ideal for:

• Students or fresh graduates interested in starting a programming career
• Entry-level software developers
• Junior Python developers
• Data science or AI enthusiasts starting with Python
• Quality assurance (QA) testers learning scripting
• Web development beginners
• System administrators learning automation with Python

 

Skills Required

• Basic logical thinking and problem-solving skills
• Understanding of fundamental programming concepts (variables, loops, conditions)
• Curiosity to learn coding and experiment with code
• Patience and attention to detail

 

Knowledge Gained

• Understanding of Python syntax and structure
• Ability to write, debug, and run basic Python programs
• Knowledge of data types, operators, control flow, functions, and modules
• Understanding of object-oriented programming basics in Python
• Familiarity with common programming practices and error handling
• Building blocks to progress toward advanced Python and software development roles

 

Course Outline

The Certified Associate in Python Programming (PCAP-31-03) Exam covers the following topics - 
 

Domain 1: Understanding Modules and Packages (12%)

1.1 Describe the 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

 

1.2 Describe Perform evaluations using the math module

• functions: ceil(), floor(), trunc(), factorial(), hypot(), sqrt()

 

1.3 Describe and create random values using the random module

• functions: random(), seed(), choice(), sample()

 

1.4 Identify host platform properties using the platform module

• functions: platform(), machine(), processor(), system(), version(), python_implementation(), python_version_tuple()

 

1.5 Build 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

 

Domain 2: Understanding Exceptions (14%)

2.1 Learn to 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

 

2.2 Extend the Python exceptions hierarchy with self-defined exceptions

• self-defined exceptions
• defining and using self-defined exceptions

 

Domain 3: Overview of Strings (18%)

3.1 Overview of machine representation of characters

• encoding standards: ASCII, UNICODE, UTF-8, code points, escape sequences

 

3.2 Explain Operate on strings

• functions: ord(), chr()
• indexing, slicing, immutability
• iterating through strings, concatenating, multiplying, comparing (against strings and numbers)
• operators: in, not in

 

3.3 Explain to employ built-in string methods

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

 

Domain 4: Understanding Object-Oriented Programming (34%)

4.1 Learn about the Object-Oriented approach

• ideas and notions: class, object, property, method, encapsulation, inheritance, superclass, subclass, identifying class components

 

4.2 Learn to 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

 

4.3 Learn to Equip a class with methods

• declaring and using methods
• the self parameter

 

4.4 Learn and discover the class structure

• introspection and the hasattr() function (objects vs classes)
• properties: __name__, __module__ , __bases__

 

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

 

4.6 Learn to construct and initialize objects

• declaring and invoking constructors

 

Domain 5: Overview of Miscellaneous Topics (22%)

5.1 Learn to create complex lists using list comprehension

• list comprehensions: the if operator, nested comprehensions

 

5.2 Learn to embed lambda functions into the code

• lambdas: defining and using lambdas
• self-defined functions taking lambdas as arguments
• functions: map(), filter()

 

5.3 Learn to define and use closures

• closures: meaning and rationale
• defining and using closures

 

5.4 Learn basic Input/Output terminology

• I/O modes
• predefined streams
• handles vs. streams
• text vs. binary modes

 

5.5 Learn about 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