Python Institute PCAP Certified Official Practice Test PCAP-31-03 - Mar-2023 [Q61-Q85]

Python Institute PCAP Certified Official Practice Test PCAP-31-03 – Mar-2023

Ace Python Institute PCAP-31-03 Certification with Actual Questions Mar 25, 2023 Updated

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:

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

3. Functions and Modules (25%)

Objectives covered by this section:

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

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

Objectives covered by this section:

read(), readinto(), readline(), write(), close() methods
class methods: defining and using the self-parameter meaning and usage
single inheritance vs. multiple inheritances
hasattr(), type(), issubclass(), isinstance(), super() functions
the init method
class attributes: class variables and instance variables, defining, adding, and removing attributes, explicit constructor invocation
the anatomy of an exception object
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
writing and using constructors
defining your classes, superclasses, subclasses, inheritance, searching for missing class components, creating objects
exceptions hierarchy, assigning more than one exception to one except branch
inheritance and overriding, finding class/object components
adding your exceptions to an existing hierarchy
the try-except-else-finally block, the raise statement, the except-as variant
the role of the str method
using predefined exceptions and defining your ones
assertions