Python Institute PCAP-31-02 Exam Questions : Certified Associate in Python Programming

  • Exam Code: PCAP-31-02
  • Exam Name: Certified Associate in Python Programming
  • Updated: Sep 29, 2026
  • Q&As: 75 Questions and Answers

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Topics of PCAP - Certified Associate in Python Programming (PCAP-31-02) Exam

The syllabus for the PCAP - Certified Associate in Python Programming (PCAP-31-02) examination is listed below in detail of each section and their topics:

1. Control and Evaluations (25%)

Objectives covered by this section:

  • simple strings: constructing, assigning, indexing, slicing comparing, immutability
  • simple lists: constructing vectors, indexing and slicing, the len() function
  • basic concepts: interpreting and the interpreter, compilation and the compiler, language elements, lexis, syntax and semantics, Python keywords, instructions, indenting
  • accuracy of floating-point numbers
  • numeric operators: * / % // + -
  • the pass instruction
  • formatting print() output with end= and sep= arguments
  • conditional statements: if, if-else, if-elif, if-elif-else
  • expanding loops: while-else, for-else, nesting loops and conditional statements
  • building loops: while, for, range(), in, iterating through sequences
  • literals: Boolean, integer, floating-point numbers, scientific notation, strings
  • bitwise operators: ~ & ^ | « »
  • basic input and output: input(), print(), int(), float(), str() functions
  • operators: unary and binary, priorities and binding
  • string operators: * +
  • assignments and shortcut operators
  • controlling loop execution: break, continue
  • relational operators ( == != > >= < <= ), building complex Boolean expressions
  • Boolean operators: not and or

2. Data Aggregates (25%)

Objectives covered by this section:

  • lists in lists: matrices and cubes
  • tuples: indexing, slicing, building, immutability
  • tuples vs. lists: similarities and differences, lists inside tuples and tuples inside lists
  • dictionaries: building, indexing, adding and removing keys, iterating through dictionaries as well as their keys and values, checking key existence, keys(), items() and values() methods
  • strings in detail: ASCII, UNICODE, UTF-8, immutability, escaping using the \ character, quotes and apostrophes inside strings, multiline strings, copying vs. cloning, advanced slicing, string vs. string, string vs. non-string, basic string methods (upper(), lower(), isxxx(), capitalize(), split(), join(), etc.) and functions (len(), chr(), ord()), escape characters
  • lists in detail: indexing, slicing, basic methods (append(), insert(), index()) and functions (len(), sorted(), etc.), del instruction, iterating lists with the for loop, initializing, in and not in operators, list comprehension, copying and cloning

3. Functions and Modules (25%)

Objectives covered by this section:

  • Python hashbangs, using multiline strings as module documentation
  • pyc file creation and usage
  • defining and invoking your own functions and generators
  • name scopes, name hiding (shadowing), the global keyword
  • the if operator
  • return and yield keywords, returning results, the None keyword, recursion
  • parameters vs. arguments, positional keyword and mixed argument passing, default parameter values
  • converting generator objects into lists using the list() function
  • lambda functions, defining and using
  • import directives, qualifying entities with module names, initializing modules
  • map(), filter(), reduce(), reversed(), sorted() functions and the sort() method
  • hiding module entities
  • constructing and distributing packages, packages vs. directories, the role of the init.py file
  • writing and using modules, the name variable

4. Classes, Objects, and Exceptions (25%)

Objectives covered by this section:

  • the init method
  • inheritance and overriding, finding class/object components
  • the anatomy of an exception object
  • adding your own exceptions to an existing hierarchy
  • read(), readinto(), readline(), write(), close() methods
  • writing and using constructors
  • exceptions hierarchy, assigning more than one exception to one except branch
  • input/output basics: opening files with the open() function, stream objects, binary vs. text files, newline character translation, reading and writing files, bytearray objects
  • class methods: defining and using, the self parameter meaning and usage
  • the role of the str method
  • defining your own classes, superclasses, subclasses, inheritance, searching for missing class components, creating objects
  • class attributes: class variables and instance variables, defining, adding and removing attributes, explicit constructor invocation
  • hasattr(), type(), issubclass(), isinstance(), super() functions
  • the try-except-else-finally block, the raise statement, the except-as variant
  • introspection: dict, name, module, bases properties, examining class/object structure
  • single inheritance vs. multiple inheritance
  • assertions
  • name mangling
  • using predefined exceptions and defining your own ones
  • invoking methods, passing and using the self argument/parameter

How to Prepare For PCAP - Certified Associate in Python Programming (PCAP-31-02) Exam

Preparation Guide for PCAP - Certified Associate in Python Programming (PCAP-31-02) Exam

Introduction

The Python Institute is a fully independent, non-profit project set up by the Open Education and Development Group (OpenEDG) to promote the language of Python programming, train a new generation of Python programmers, and promote technical careers in Python programming and related technologies. The OpenEDG Python Institute offers an independent global platform for high-stakes Python programming exams in line with the strategic objectives aligned with the improvement and growth of careers in Python programming.

The OpenEDG Python Institute provides training courses at all levels of Python programming, from absolute beginners to experienced skilled programmers, and all the online self-study courses offered by the Python Institute are free for everyone, just as Python itself is free and open source. In collaboration with Pearson VUE, the world's pioneer in computer-based testing, the OpenEDG Python Institute also provides independent and vendor-neutral Python programming language certification.

The Python Institute helps highly motivated programmers and data analysts to gain access to the best-paid, most fascinating jobs in Python programming through its rigorous certification process. The purpose of the Python Institute is to provide the skills required to produce Python content at a more advanced and technical level, following the best practises in programming, to every Python programmer, and every aspiring Python programmer.

This guide provides a detailed overview of the PCAP - Certified Associate in Python Programming (PCAP-31-02) cetification including all sorts of prerequisites for the exam, the exam format, topics covered, exam difficulty and preparation methods, and the target audience profile.

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Introduction to PCAP - Certified Associate in Python Programming (PCAP-31-02) Exam

PCAP - Certified Python Programming Associate (PCAP-31-02) qualification is a technical certificate that tests the ability to perform coding tasks in the Python language related to the fundamentals of programming and the basic notions and techniques used in object-oriented programming.

PCAP - Certified Associate in Python Programming (PCAP-31-02) certification indicates that the person is familiar with general computer programming concepts such as conditional execution, loops, syntax of the Python programming language, semantics, and runtime environment, as well as general coding and object-oriented programming techniques.

Becoming certified by PCAP ensures that you are fully familiar with all the primary means offered by Python 3 to enable you to begin your own studies and open up a path to the career of the developer.

Reference: https://pythoninstitute.org/certification/pcap-certification-associate/

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Python Institute PCAP-31-02 Exam Syllabus Topics:

SectionWeightObjectives
Modules and Packages12%- User-defined modules and packages
  • 1. Creating modules
  • 2. Creating packages
  • 3. Package organization
- Importing and using modules and packages
  • 1. dir() function
  • 2. Nested modules and package structure
  • 3. import, from import, import as, import *
  • 4. sys.path usage
- Standard library modules
  • 1. math module
  • 2. random module
  • 3. platform module
Exceptions14%- Exception handling
  • 1. Built-in exception hierarchy
  • 2. Raising exceptions
  • 3. else and finally clauses
  • 4. try-except blocks
Strings18%- String processing
  • 1. String operations and manipulation
  • 2. String formatting
  • 3. String methods
  • 4. Character encoding and Unicode
Miscellaneous Advanced Features22%- Python advanced techniques
  • 1. Closures
  • 2. Lambda expressions
  • 3. List comprehensions
  • 4. Generators
  • 5. File processing and I/O operations
Object-Oriented Programming34%- Classes and objects
  • 1. Object creation
  • 2. Class definition
  • 3. Attributes and methods
- Advanced OOP
  • 1. Properties
  • 2. Composition
  • 3. Class variables and instance variables
  • 4. Introspection
- OOP concepts
  • 1. Encapsulation
  • 2. Polymorphism
  • 3. Inheritance
  • 4. Method overriding

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