Free Practice Questions for Python Institute PCEP™ – Certified Entry-Level Python Programmer Certification
Study with 426 exam-style practice questions designed to help you prepare for the Python Institute PCEP™ – Certified Entry-Level Python Programmer. All questions are aligned with the latest exam guide and include detailed explanations to help you master the material.
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Key information about Python Institute PCEP™ – Certified Entry-Level Python Programmer
- Multiple choice
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Live & Active
PCEP-30-02
4 sections with varying item counts and weights
February 23, 2022
Section 1: 18%, Section 2: 29%, Section 3: 25%, Section 4: 28%
Section 1: 7 items, Section 2: 8 items, Section 3: 7 items, Section 4: 8 items
Exam Topics & Skills Assessed
Skills measured (from the official study guide)
Domain 1: Computer Programming and Python Fundamentals
Subdomain 1.1: Understand fundamental terms and definitions
Interpreting and the interpreter, compilation and the compiler
Lexis, syntax, and semantics
Subdomain 1.2: Understand Python’s logic and structure
Keywords
Instructions
Indentation
Comments
Subdomain 1.3: Introduce literals and variables into code and use different numeral systems
Boolean, integers, floating-point numbers
Scientific notation
Strings
Binary, octal, decimal, and hexadecimal numeral systems
Variables
Naming conventions
Implementing PEP-8 recommendations
Subdomain 1.4: Choose operators and data types adequate to the problem
Numeric operators: ** * / % // + –
String operators: * +
Assignment and shortcut operators
Unary and binary operators
Priorities and binding
Bitwise operators: ~ & ^ | << >>
Boolean operators: not, and, or
Boolean expressions
Relational operators ( == != > >= < <= )
The accuracy of floating-point numbers
Type casting
Subdomain 1.5: Perform Input/Output console operations
The print() and input() functions
The sep= and end= keyword parameters
The int() and float() functions
Domain 2: Control Flow – Conditional Blocks and Loops
Subdomain 2.1: Make decisions and branch the flow with the if instruction
Conditional statements: if, if-else, if-elif, if-elif-else
Multiple conditional statements
Nesting conditional statements
Subdomain 2.2: Perform different types of iterations
The pass instruction
Building loops with while, for, range(), and in
Iterating through sequences
Expanding loops with while-else and for-else
Nesting loops and conditional statements
Controlling loop execution with break and continue
Domain 3: Data Collections – Tuples, Dictionaries, Lists, and Strings
Subdomain 3.1: Collect and process data using lists
Constructing vectors
Indexing and slicing
The len() function
List methods: append(), insert(), index(), etc.
Functions: len(), sorted()
The del instruction
Iterating through lists with the for loop
Initializing loops
The in and not in operators
List comprehensions
Copying and cloning
Lists in lists: matrices and cubes
Subdomain 3.2: Collect and process data using tuples
Tuples: indexing, slicing, building, immutability
Tuples vs. lists: similarities and differences
Lists inside tuples and tuples inside lists
Subdomain 3.3: Collect and process data using dictionaries
Dictionaries: building, indexing, adding and removing keys
Iterating through dictionaries and their keys and values
Checking the existence of keys
Methods: keys(), items(), and values()
Subdomain 3.4: Operate with strings
Constructing strings
Indexing, slicing, immutability
Escaping using the \ character
Quotes and apostrophes inside strings
Multi-line strings
Basic string functions and methods
Domain 4: Functions and Exceptions
Subdomain 4.1: Decompose the code using functions
Defining and invoking user-defined functions and generators
The return keyword, returning results
The None keyword
Recursion
Subdomain 4.2: Organize interaction between the function and its environment
Parameters vs. arguments
Positional, keyword, and mixed argument passing
Default parameter values
Name scopes, name hiding (shadowing), and the global keyword
Subdomain 4.3: Python Built-In Exceptions Hierarchy
BaseException
Exception
SystemExit
KeyboardInterrupt
Abstract exceptions
ArithmeticError
LookupError
IndexError
KeyError
TypeError
ValueError
Subdomain 4.4: Basics of Python Exception Handling
try-except / the try-except Exception
Ordering the except branches
Propagating exceptions through function boundaries
Delegating responsibility for handling exceptions
Techniques & products