PCEP – Certified Entry-Level Python Programmer Certification: PCEP 30-01 Practice Test

· Jeremias Lacanienta
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About this ebook

PCEP – Certified Entry-Level Python Programmer Certification is a comprehensive mock exam with emphasis on using the PCEP 30-01 Syllabus as guide on the question topic. The audience should be at least a beginner Python programmer or have a good grasp on programming because this is not a tutorial. All 233 questions are tested and have undergone quality control.

All 233 questions are based on individual topics in the syllabus and all topics have been covered. Each and every topic in the syllabus have a corresponding question with sufficient representation.


Exam block #1: Basic Concepts (50 questions)

Objectives covered by the block (9 exam items)

fundamental concepts: interpreting and the interpreter, compilation and the compiler, language elements, lexis, syntax and semantics, Python keywords, instructions, indenting

literals: Boolean, integer, floating-point numbers, scientific notation, strings

comments

the print() function

the input() function

numeral systems (binary, octal, decimal, hexadecimal)

numeric operators: ** * / % // + –

string operators: * +

assignments and shortcut operators


Exam block #2: Data Types, Evaluations, and Basic I/O Operations (40 questions)

Objectives covered by the block (11 exam items)

operators: unary and binary, priorities and binding

bitwise operators: ~ & ^ | << >>

Boolean operators: not and or

Boolean expressions

relational operators ( == != > >= < <= ), building complex Boolean expressions

accuracy of floating-point numbers

basic input and output operations using the input(), print(), int(), float(), str(), len() functions

formatting print() output with end= and sep= arguments

type casting

basic calculations

simple strings: constructing, assigning, indexing, immutability


Exam block #3: Control Flow – loops and conditional blocks (37 questions)

Objectives covered by the block (8 exam items)

conditional statements: if, if-else, if-elif, if-elif-else

multiple conditional statements

the pass instruction

building loops: while, for, range(), in

iterating through sequences

expanding loops: while-else, for-else

nesting loops and conditional statements

controlling loop execution: break, continue


Exam block #4: Data Collections – Lists, Tuples, and Dictionaries (67 questions)

Objectives covered by the block (7 exam items)

simple lists: constructing vectors, indexing and slicing, the len() function

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

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: escaping using the \ character, quotes and apostrophes inside strings, multi-line strings, basic string functions.


Exam block #5: Functions (39 questions)

Objectives covered by the block (9 exam items)

defining and invoking your own functions and generators

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

name scopes, name hiding (shadowing), the global keyword


Questions in the Practice tests are much more difficult than what is included in the Certified Entry-Level Python Programmer Certification. I recommend doing hands-on to test the validity of the answers and emphasize on the importance of coding different permutations and combinations on the examples given.

All questions are self-explanatory and it will be easier to understand if the code is run on IDLE or the user's preferred Python IDE.

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