Practice Tests: Crack the Python PCEP Certification Exam

If you're preparing for the Python PCEP Certified Entry-Level Programmer certification or a junior Python developer interview, taking these practice tests can boost your confidence and help you review Python fundamentals. These tests are fully aligned with the PCEP certification format, including the number and type of questions, time limit, and passing score. This makes them an excellent tool to evaluate your skills before the real exam. Besides assessing your knowledge, the tests also provide explanations for each question, which can help you comprehend the correct answer. However, note that these tests aren't a comprehensive Python course, and they're not intended for complete beginners. If you have no coding experience, it's recommended to first take dedicated PCEP courses on Udemy. Each test in this course consists of 30 questions, and you have 45 minutes to complete it. The passing score is 70%.

What do the Tests consist of?

Understand fundamental terms and definitions

• interpreting and the interpreter, compilation and the compiler

• lexis, syntax, and semantics

Understand Python’s logic and structure

• keywords

• instructions

• indentation

• comments

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

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

Perform Input/Output console operations

• the print() and input() functions

• the sep= and end= keyword parameters

• the int() and float() functions

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

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

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

Collect and process data using tuples

• tuples: indexing, slicing, building, immutability

• tuples vs. lists: similarities and differences

• lists inside tuples and tuples inside lists

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()

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

Decompose the code using functions

• defining and invoking user-defined functions and generators

• the return keyword, returning results

• the None keyword

• recursion

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

Python Built-In Exceptions Hierarchy

• BaseException

• Exception

• SystemExit

• KeyboardInterrupt

• abstract exceptions

• ArithmeticError

• LookupError

• IndexError

• KeyError

• TypeError

• ValueError

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

Who this course is for:

• This course is suitable for individuals who intend to pass the Python PCEP certification.

• It is also designed for beginner-level Python developers who want to improve their programming skills.

• People who are preparing for junior Python roles can benefit from this course.

• This course can be helpful for students who are preparing for basic Python exams.