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Python Institute PCAP-31-03 Exam Overview:

PCAP - Certified Associate in Python Programming (PCAP-31-03) Certification Path

The Certified Associate in Python Programming Certification includes only one PCAP-31-03 exam. There are no official prerequisites for the exam, but the applicants are recommended to have little prior knowledge of any programming language, should have very basic knowledge of Mathematics, and have attempted the PCAP-31-03 practice exams.

What is the duration, language, and format of PCAP - Certified Associate in Python Programming (PCAP-31-03) Exam

• Number of Questions: 40
• Passing score: 70%
• Type of Questions: Single-choice and multiple-choice questions
• Language of Exam: English
• Duration of Exam: 65 minutes + 10 minutes (Non-Disclosure Agreement/Tutorial)

Topics of PCAP - Certified Associate in Python Programming (PCAP-31-03) Exam

The syllabus for the PCAP-31-03 exam dumps is listed below in detail of each section and their topics:

1. Control and Evaluations (25%)

Objectives covered by this section:

• string operators: * +
• accuracy of floating-point numbers
• controlling loop execution: break, continue
• expanding loops: while-else, for-else, nesting loops, and conditional statements
• the pass instruction
• basic input and output: input(), print(), int(), float(), str() functions
• basic concepts: interpreting and the interpreter, compilation and the compiler, language elements, lexis, syntax and semantics, Python keywords, instructions, indenting
• assignments and shortcut operators
• formatting print() output with end= and sep= arguments
• building loops: while, for, range(), in, iterating through sequences
• relational operators (== != > >= < <= ), building complex Boolean expressions
• bitwise operators: ~ & ^ | « »
• Boolean operators: not and or
• conditional statements: if, if-else, if-elif, if-elif-else
• literals: Boolean, integer, floating-point numbers, scientific notation, strings
• simple strings: constructing, assigning, indexing, slicing comparing, immutability
• numeric operators: * / % // + -
• operators: unary and binary, priorities and binding
• simple lists: constructing vectors, indexing, and slicing, the len() function

2. Data Aggregates (25%)

Objectives covered by this section:

• strings in detail: ASCII, UNICODE, UTF-8, immutability, escaping using the \ character, quotes and apostrophes inside strings, multiline strings, copying vs. cloning, advanced slicing, string vs. string, string vs. non-string, basic string methods (upper(), lower(), isxxx(), capitalize(), split(), join(), etc.) and functions (len(), chr(), ord()), escape characters
• tuples: indexing, slicing, building, immutability
• tuples vs. lists: similarities and differences, lists inside tuples and tuples inside lists
• 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
• 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
• lists in lists: matrices and cubes

3. Functions and Modules (25%)

Objectives covered by this section:

• the if operator
• converting generator objects into lists using the list() function
• defining and invoking your functions and generators
• pyc file creation and usage
• name scopes, name hiding (shadowing), the global keyword
• writing and using modules, the name variable
• lambda functions, defining and using
• import directives, qualifying entities with module names, initializing modules
• map(), filter(), reduce(), reversed(), sorted() functions and the sort() method
• constructing and distributing packages, packages vs. directories, the role of the init.py file
• hiding module entities
• Python hashbangs, using multiline strings as module documentation
• return and yield keywords, returning results, the None keyword, recursion
• parameters vs. arguments, positional keyword and mixed argument passing, default parameter values

4. Classes, Objects, and Exceptions (25%)

Objectives covered by this section:

• input/output basics: opening files with the open() function, stream objects, binary vs. text files, newline character translation, reading and writing files, byte array objects
• adding your exceptions to an existing hierarchy
• introspection: dict, name, module, bases properties, examining class/object structure
• writing and using constructors
• defining your classes, superclasses, subclasses, inheritance, searching for missing class components, creating objects
• name mangling
• single inheritance vs. multiple inheritances
• class attributes: class variables and instance variables, defining, adding, and removing attributes, explicit constructor invocation
• exceptions hierarchy, assigning more than one exception to one except branch
• read(), readinto(), readline(), write(), close() methods
• assertions
• the anatomy of an exception object
• invoking methods, passing and using the self-argument/parameter
• the role of the str method
• inheritance and overriding, finding class/object components
• using predefined exceptions and defining your ones
• the init method
• the try-except-else-finally block, the raise statement, the except-as variant
• hasattr(), type(), issubclass(), isinstance(), super() functions
• class methods: defining and using the self-parameter meaning and usage

Reference: https://pythoninstitute.org/certification/pcap-certification-associate/pcap-exam-syllabus/

Python Institute PCAP-31-03 Exam Syllabus Topics: