Karamagi - Certified Entry-Level Python Programmer (PCEP) - Practice Exams

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PCEP Certified Entry-Level Python Programmer Certification

Overview

PCEP Certified Entry-Level Python Programmer certification is a professional credential that measures your ability to accomplish coding tasks related to the essentials of programming in the Python language. A test candidate should demonstrate sufficient knowledge of the universal concepts of computer programming, the syntax and semantics of the Python language as well as the skills in resolving typical implementation challenges with the help of the Python Standard Library.

PCEP Certified Entry-Level Python Programmer certification shows that the individual is familiar with universal computer programming concepts like data types, containers, functions, conditions, loops, as well as Python programming language syntax, semantics, and the runtime environment.

Becoming PCEP certified ensures that the individual is acquainted with the most essential means provided by Python 3 to enable her/him to start their own studies at an intermediate level and to continue their professional development.

PCEP Certified Entry-Level Python Programmer certification is an interim step to the PCAP Certified Associate in Python Programming certification and the starting point to launch a career in software development, Python programming, and related technologies. Becoming PCEP certified will help you stand out from other candidates and get your foot in the door.

PCEP: Exam Information

• Exam name: PCEP Certified Entry-Level Python Programmer
• Exam Code/Exam Version: PCEP-30-01 | Status: Published
• Exam Level: Entry
• Associated Certifications: PCAP Certified Associate in Python programming (PCAP-31-02, PCAP-31-01)
• Pre-requisites: None
• Duration: 45 minutes (exam) + approx. 5 minutes (Non-Disclosure Agreement/Tutorial)
• Number of Questions: 30
• Format: Single-choice and multiple-choice questions, drag & drop, gap fill | Python 3.x
• Passing Score: 70%
• Language: English
• Courses Aligned: PCAP: Programming Essentials in Python (Cisco Networking Academy, instructor-led: Modules 1-3), PCAP: Programming Fundamentals in Python (Part 1) OpenEDG Education Platform, self-enroll/self-study
• Full Exam Price: USD 59
• Delivery Channel: OpenEDG Testing Service
• Testing Policies: Click here to view Testing Policies
• Exam Syllabus: Click here to view Exam Syllabus
• Sample Test: Click here to download a free PCEP sample test (TBA)

Exam Objectives

The test candidate should demonstrate the sufficient knowledge of the following concepts:

The fundamentals of computer programming, i.e. how the computer works, how the program is executed, how the programming language is defined and constructed, what the difference is between compilation and interpretation, what Python is, how it is positioned among other programming languages, and what distinguishes the different versions of Python;

The basic methods of formatting and outputting data offered by Python, together with the primary kinds of data and numerical operators, their mutual relations and bindings; the concept of variables and variable naming conventions; the assignment operator, the rules governing the building of expressions; the inputting and converting of data;

Boolean values to compare difference values and control the execution paths using the if and if-else instructions; the utilization of loops ( while and for ) and how to control their behavior using the break and continue instructions; the difference between logical and bitwise operations; the concept of lists and list processing, including the iteration provided by the for loop, and slicing; the idea of multi-dimensional arrays;

The defining and using of functions their rationale, purpose, conventions, and traps; the concept of passing arguments in different ways and setting their default values, along with the mechanisms of returning the functions results; name scope issues; new data aggregates: tuples and dictionaries, and their role in data processing.

Exam block #1: Basic Concepts (17%)
Objectives covered by the block (5 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 (20%)
Objectives covered by the block (6 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: Flow Control loops and conditional blocks (20%)

Objectives covered by the block (6 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 (23%)

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, multiline strings, basic string functions.
  

Exam block #5: Functions (20%)

Objectives covered by the block (6 exam items)

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