PCEP 30-02: Certified Entry-Level Python Programmer Tests

About PCEP 30-02: Certified Entry-Level Python Programmer Tests

Certified Entry-Level Python Programmer (PCEP) Exam Preparation

- Carefully selected Certified Entry-Level Python Programmer (PCEP)

pass on your first attempt. 306 Unique Questions.

If you are planning to take Certified Entry-Level Python Programmer (PCEP) Exam and want to see what kind of questions are coming in the Certified Entry-Level Python Programmer (PCEP) - Real Exam, these practice questions are the best for you. Certification is a professional credential that measures the candidate's ability to accomplish coding tasks related to advanced programming in the Python language and related technologies, advanced notions and techniques used in object-oriented programming, the use of selected Python Standard Library modules and packages, designing, building and improving programs and applications utilizing the concepts of GUI and network programming, as well as adopting the coding conventions and best practices for code writing.

Exam details:

Exam Name:

PCEP Certified Entry-Level Python Programmer

Exam Code:

PCEP-30-01

Exam Level:

Entry

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

Delivery Channel:

OpenEDG Testing Service

PCEP-30-02 Syllabus - Python Institute

Computer Programming and Python Fundamentals (18%)

1.

Understand fundamental terms and definitions

1. interpreting and the interpreter, compilation, and the compiler 2. lexis, syntax, and semantics 2.

Understand Python’s logic and structure

1. keywords 2. instructions 3. indentation 4. comments 3.

Introduce literals and variables into code and use different numeral systems

1. Boolean, integers, floating-point numbers 2. scientific notation 3. strings 4. binary, octal, decimal, and hexadecimal numeral systems 5. variables 6. naming conventions 7. implementing PEP-8 recommendations 4.

Choose operators and data types adequate to the problem

1. numeric operators:

/ % // + – 2. string operators:

+ 3. assignment and shortcut operators 4. unary and binary operators 5. priorities and binding 6. bitwise operators: ~ & ^ | << >> 7. Boolean operators: _not_ , _and_ , _or_ 8. Boolean expressions 9. relational operators ( == != > >= < <= ) 10. the accuracy of floating-point numbers 11. type casting 5.

Perform Input/Output console operations

1. the _print()_ and _input()_ functions 2. the _sep=_ and _end=_ keyword parameters 3. the _int()_ and _float()_ functions

Control Flow - Conditional Block and Loops (29%)

1.

Make decisions and branch the flow with the _if_ instruction

1. conditional statements: if, if-else, if-elif, if-elif-else 2. multiple conditional statements 3. nesting conditional statements 2.

Perform different types of iterations

1. the _pass_ instruction 2. building loops with _while_ , _for_ , _range()_ , and _in_ 3. iterating through sequences 4. expanding loops with _while-else_ and _for-else_ 5. nesting loops and conditional statements 6. controlling loop execution with _break_ and _continue_

Data Collections - Tuples, Dictionaries, Lists, and Strings (25%)

1.

Collect and process data using lists

1. constructing vectors 2. indexing and slicing 3. the _len()_ function 4. list methods: _append()_ , _insert()_ , _index()_ , etc. 5. functions: _len()_ , _sorted()_ 6. the _del_ instruction 7. iterating through lists with the _for_ loop 8. initializing loops 9. the _in_ and _not in_ operators 10. list comprehensions 11. copying and cloning 12. lists in lists: matrices and cubes 2.

Collect and process data using tuples

1. tuples: indexing, slicing, building, immutability 2. tuples vs. lists: similarities and differences 3. lists inside tuples and tuples inside lists 3.

Collect and process data using dictionaries

1. dictionaries: building, indexing, adding and removing keys 2. iterating through dictionaries and their keys and values 3. checking the existence of keys 4. methods: _keys()_ , _items()_ , and _values()_ 4.

Operate with strings

1. constructing strings 2. indexing, slicing, immutability 3. escaping using the _\_ character 4. quotes and apostrophes inside strings 5. multi-line strings 6. basic string functions and methods

Functions and Exceptions (28%)

1.

Decompose the code using functions

1. defining and invoking user-defined functions and generators 2. the _return_ keyword, returning results 3. the _None_ keyword 4. recursion 2.

Organize interaction between the function and its environment

1. parameters vs. arguments 2. positional, keyword, and mixed argument passing 3. default parameter values 4. name scopes, name hiding (shadowing), and the _global_ keyword 3.

Python Built-In Exceptions Hierarchy

1. BaseException 2. Exception 3. SystemExit 4. KeyboardInterrupt 5. abstract exceptions 6. ArithmeticError 7. LookupError 8. IndexError 9. KeyError 10. TypeError 11. ValueError 4.

Basics of Python Exception Handling

1. try-except / the try-except Exception 2. ordering the except branches 3. propagating exceptions through function boundaries 4. delegating responsibility for handling exceptions Python is easy to learn. The syntax is simple and the code is very readable. With Python, you can write programs in fewer lines of code than with most other programming languages. The popularity of Python is growing rapidly. It is now one of the most popular programming languages. Python has a wide variety of applications. It is used for automation, web application development, artificial intelligence, data science and so on: Python can make life easier by automating many tasks, such as scraping a website to collect data, automating test cases in software development, or automating everyday office tasks. Python can easily access and read all kinds of files, which opens up the possibility of saving a lot of time by automating repetitive tasks. Python is a good choice for rapid web application development. With many frameworks like Django, Pyramid, and Flask, you can develop web applications with great speed using Python. Python is used on the server side of web development. You can use Python to interact with database and create RESTful API services. The near future will be the era of artificial intelligence. In the past, computers and machines were used to perform mathematical calculations at very high speeds, but now many large organizations and researchers are working to develop intelligent systems that can perform tasks like a human. To some extent, machines are able to understand human emotions and their natural language. They can mimic certain human actions that were not possible before. Again, Python is very popular for developing AI systems. Earlier, Python was mainly used to build applications and write scripts to automate tasks, but now a brand new trend of data science has given Python an even bigger boost. Data scientists are heavily dependent on Python because it is so simple, has a large community, and can perform huge calculations with ease.Python is being used in a wide variety of fields, and there are no signs that this trend is coming to a halt. It's safe to say that Python is here to stay for the long haul in this ever-changing and evolving IT industry. Certification is a professional credential that measures the candidate's ability to accomplish coding tasks related to advanced programming in the Python language and related technologies, advanced notions and techniques used in object-oriented programming, the use of selected Python Standard Library modules and packages, designing, building and improving programs and applications utilizing the concepts of GUI and network programming, as well as adopting the coding conventions and best practices for code writing. Practicing for an exam like the (PCEP) can be a full-time job. In fact some exams are actually paid for by work because they are so intensive. Certification is not simple and takes immense work. It takes time, practice, and the right focus. We understand that because we have been in this industry for years and working in space full of less savory test prep sources.