Certified Entry-Level Python Programmer (PCEP-30-02) Practice Exam
- Test Code:1027-P
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Certified Entry-Level Python Programmer (PCEP-30-02) Practice Exam
The PCEP – Certified Entry-Level Python Programmer certification (Exam PCEP-30-02) is a professional acknowledgment of a candidate's capability to handle coding tasks related to the basics of programming in Python. Test takers should display adequate knowledge of general programming concepts, Python language syntax and rules, and the ability to tackle common implementation problems using the Python Standard Library. Achieving PCEP™ certification confirms that the individual is acquainted with fundamental concepts including:
- Basic programming terms and definitions (like compilation vs. interpretation)
- Python's structure and logic (such as keywords, statements, and indentation)
- Concepts like literals, variables, and numeral systems
- Operators and data types
- Input/output operations
- Control flow mechanisms (like if statements and loops)
- Data collections (such as lists, tuples, dictionaries, and strings)
- Functions (including built-in and user-defined functions, recursion, and generators)
- Handling exceptions
- Understanding essential Python programming language syntax, semantics, and the runtime environment.
Who should take the exam?
The PCEP certification is best suitable for:
- Individuals starting out in programming and those eager to learn for both personal enjoyment and work assignments.
- Learners aiming to acquire essential skills and understanding for beginner-level positions like software developer, data analyst, or tester.
- Professionals in various industries interested in delving into Python-related technologies or those built upon Python.
- Team leaders, product managers, and project managers desiring a grasp of software development terminology and procedures to better oversee and communicate with development teams.
Exam Details of PCEP-30-02
- Exam Code: PCEP-30-02
- Exam Name: Certified Entry-Level Python Programmer
- Time Duration: 40 Minutes
- Exam Languages: English, Spanish
- Exam Questions: 30 Questions
- Passing Score: 70%
PCEP-30-02 Exam Course Outline
The PCEP-30-02 Exam covers the given topics -
Section 1: Understand Computer Programming and Python Fundamentals (18%)
1.1 – Understanding fundamental terms and definitions
- interpreting and the interpreter, compilation and the compiler
- lexis, syntax, and semantics
1.2 – Understanding Python’s logic and structure
- keywords
- instructions
- indentation
- comments
1.3 – Introducing 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
1.4 – Choosing 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
1.5 – Performing Input/Output console operations
- the print() and input() functions
- the sep= and end= keyword parameters
- the int() and float() functions
Section 2: Understand about Control Flow – Conditional Blocks and Loops (29%)
2.1 – Making 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
2.2 – Performing 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
Section 3: Learn about Data Collections – Tuples, Dictionaries, Lists, and Strings (25%)
3.1 – Collecting and processing 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
3.2 – Collecting and processing data using tuples
- tuples: indexing, slicing, building, immutability
- tuples vs. lists: similarities and differences
- lists inside tuples and tuples inside lists
3.3 Collecting and processing 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()
3.4 Operating with strings
- constructing strings
- indexing, slicing, immutability
- escaping using the \ character
- quotes and apostrophes inside strings
- multi-line strings
- basic string functions and methods
Section 4: Understand Functions and Exceptions (28%)
4.1 – Decomposing the code using functions
- defining and invoking user-defined functions and generators
- the return keyword, returning results
- the None keyword
- recursion
4.2 – Organizing 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
4.3 – Python Built-In Exceptions Hierarchy
- BaseException
- Exception
- SystemExit
- KeyboardInterrupt
- abstract exceptions
- ArithmeticError
- LookupError
- IndexError
- KeyError
- TypeError
- ValueError
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