Certified Entry-Level Python Programmer (PCEP-30-02) Practice Exam
Certified Entry-Level Python Programmer (PCEP-30-02) Practice Exam
About Certified Entry-Level Python Programmer (PCEP-30-02) Practice Exam
The Certified Entry-Level Python Programmer exam is suitable for professionals with the ability to accomplish coding tasks related to python programming language. Candidates should be able to exhibit skills and knowledge of computer programming, the syntax and semantics of the Python language, ability to resolve typical implementation challenges with the help of the Python Standard Library. The Certified Entry-Level Python Programmer (PCEP-30-02) Exam has been developed for professionals to get familiar with computer programming concepts including -
- Data types
- Containers
- Functions
- Conditions
- Loops
- Python programming language syntax and semantics
- runtime environment.
Who should take the exam?
The Certified Entry-Level Python Programmer (PCEP-30-02) exam is suitable for -
- Aspiring programmers and learners who wish to learn programming to perform job-related tasks.
- Freshers who wish to learn fundamental skills and knowledge for an entry-level job role as a software developer, data analyst, or tester.
- Professionals who wish to explore technologies connected with Python and use it as a foundation.
- Team leaders, product managers, and project managers who wish to learn basic terminology and processes in the software development cycle to efficiently communicate with production and development teams.
Exam Details
- Exam Name - Certified Entry-Level Python Programmer
- Exam Code - PCEP-30-02
- Exam Prerequisites - NIL
- Exam Validity - Lifetime
- Exam Duration - 40 minutes
- Total Questions - 30 questions
- Exam Format - Single- and multiple-select questions, drag & drop, gap fill, sort, code fill, code insertion
- Passing Score - 70% and above
- Exam Language - English, Spanish
- Exam Price - USD 59 (Exam: Single-Shot); USD 76.70 (Exam: with one retake)
Course Outline
The Certified Entry-Level Python Programmer (PCEP-30-02) exam covers the following topics -
Domain 1 - Understanding Computer Programming and Python Fundamentals (18%)
1.1 Learn fundamental terms and definitions
- Explain interpreting and the interpreter
- Explain compilation and the compiler
- Explain lexis, syntax, and semantics
1.2 Learn Python’s logic and structure
- Explain keywords
- Explain instructions
- Explain indentation
- Explain comments
1.3 Learn literals and variables into code and learn to use different numeral systems
- Explain Boolean, integers, floating-point numbers
- Explain scientific notation
- Explain strings
- Explain binary, octal, decimal, and hexadecimal numeral systems
- Explain variables
- Explain naming conventions
- Explain to implement PEP-8 recommendations
1.4 Explain Choose operators and data types adequate to the problem
- Learn numeric operators: ** * / % // + –
- Learn string operators: * +
- Learn assignment and shortcut operators
- Learn unary and binary operators
- Learn priorities and binding
- Learn bitwise operators: ~ & ^ | << >>
- Learn Boolean operators: not, and, or
- Learn Boolean expressions
- Learn relational operators ( == != > >= < <= )
- Learn the accuracy of floating-point numbers
- Learn type casting
1.5 Learn to perform Input/Output console operations
- Explain the print() and input() functions
- Explain the sep= and end= keyword parameters
- Explain the int() and float() functions
Domain 2: Understand Control Flow – Conditional Blocks and Loops (29%)
2.1 Learn to make decisions and branch the flow with the if instruction
- Explain conditional statements: if, if-else, if-elif, if-elif-else
- Explain multiple conditional statements
- Explain nesting conditional statements
2.2 Learn to cerform different types of iterations
- Explain the pass instruction
- Explain building loops with while, for, range(), and in
- Explain iterating through sequences
- Explain expanding loops with while-else and for-else
- Explain nesting loops and conditional statements
- Explain controlling loop execution with break and continue
Domain 3: Understand Data Collections – Tuples, Dictionaries, Lists, and Strings (25%)
3.1 Learn to Collect and process data using lists
- Explain constructing vectors
- Explain indexing and slicing
- Explain the len() function
- Explain list methods: append(), insert(), index(), etc.
- Explain functions: len(), sorted()
- Explain the del instruction
- Explain iterating through lists with the for loop
- Explain initializing loops
- Explain the in and not in operators
- Explain list comprehensions
- Explain copying and cloning
- Explain lists in lists: matrices and cubes
3.2 Learn to collect and process data using tuples
- Explain tuples: indexing, slicing, building, immutability
- Explain tuples vs. lists: similarities and differences
- Explain lists inside tuples and tuples inside lists
3.3 Learn to collect and process data using dictionaries
- Explain dictionaries: building, indexing, adding and removing keys
- Explain iterating through dictionaries and their keys and values
- Explain checking the existence of keys
- Explain methods: keys(), items(), and values()
3.4 Learn to operate with strings
- Explain constructing strings
- Explain indexing, slicing, immutability
- Explain escaping using the \ character
- Explain quotes and apostrophes inside strings
- Explain multi-line strings
- Explain basic string functions and methods
Domain 4: Understand Functions and Exceptions (28%)
4.1 Learn to Decompose the code using functions
- Explain defining and invoking user-defined functions and generators
- Explain the return keyword, returning results
- Explain the None keyword
- Explain recursion
4.2 Learn Organize interaction between the function and its environment
- Explain parameters vs. arguments
- Explain positional, keyword, and mixed argument passing
- Explain default parameter values
- Explain name scopes, name hiding (shadowing), and the global keyword
4.3 Learn Python Built-In Exceptions Hierarchy
- Explain BaseException
- Explain Exception
- Explain SystemExit
- Explain KeyboardInterrupt
- Explain abstract exceptions
- Explain ArithmeticError
- Explain LookupError
- Explain IndexError
- Explain KeyError
- Explain TypeError
- Explain ValueError
4.4 Learn basics of Python Exception Handling
- Explain try-except / the try-except Exception
- Explain ordering the except branches
- Explain propagating exceptions through function boundaries
- Explain delegating responsibility for handling exceptions
What do we offer?
- Full-Length Mock Test with unique questions in each test set
- Practice objective questions with section-wise scores
- In-depth and exhaustive explanation for every question
- Reliable exam reports evaluating strengths and weaknesses
- Latest Questions with an updated version
- Tips & Tricks to crack the test
- Unlimited access
What are our Practice Exams?
- Practice exams have been designed by professionals and domain experts that simulate real-time exam scenario.
- Practice exam questions have been created on the basis of content outlined in the official documentation.
- Each set in the practice exam contains unique questions built with the intent to provide real-time experience to the candidates as well as gain more confidence during exam preparation.
- Practice exams help to self-evaluate against the exam content and work towards building strength to clear the exam.
- You can also create your own practice exam based on your choice and preference
