PCPP-32-101 Exam Dumps, PCPP-32-101 Practice Test Questions
PDF (New 2023) Actual Python Institute PCPP-32-101 Exam Questions
Python Institute PCPP1 exam is a comprehensive evaluation that tests a candidate’s understanding of Python programming concepts and their ability to apply them in real-world scenarios. PCPP-32-101 exam consists of 40 multiple-choice questions that assess a candidate’s knowledge of programming concepts such as data types, control structures, functions, modules, and object-oriented programming. PCPP-32-101 exam is designed to measure a candidate’s ability to write efficient, maintainable, and error-free Python code.
The PCPP1 Exam is designed to evaluate the candidate’s knowledge of the core concepts of Python programming, including data types, operators, control structures, functions, modules, and classes. PCPP-32-101 exam also tests the candidate’s ability to write, debug, and maintain Python code. Passing the PCPP1 Exam demonstrates that the candidate has a strong foundation in Python programming and is ready to pursue more advanced Python certifications.
building loops: while, for, range(), in, iterating through sequences
simple lists: constructing vectors, indexing, and slicing, the len() function
Boolean operators: not and or
controlling loop execution: break, continue
expanding loops: while-else, for-else, nesting loops, and conditional statements
bitwise operators: ~ & ^ | « »
assignments and shortcut operators
numeric operators: * / % // + –
operators: unary and binary, priorities and binding
2. Data Aggregates (25%)
Objectives covered by this section:
tuples vs. lists: similarities and differences, lists inside tuples and tuples inside lists
lists in lists: matrices and cubes
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
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
tuples: indexing, slicing, building, immutability
3. Functions and Modules (25%)
Objectives covered by this section:
converting generator objects into lists using the list() function
the if operator
hiding module entities
lambda functions, defining and using
defining and invoking your functions and generators
import directives, qualifying entities with module names, initializing modules
return and yield keywords, returning results, the None keyword, recursion
writing and using modules, the name variable
name scopes, name hiding (shadowing), the global keyword
map(), filter(), reduce(), reversed(), sorted() functions and the sort() method
Python hashbangs, using multiline strings as module documentation
pyc file creation and usage
parameters vs. arguments, positional keyword and mixed argument passing, default parameter values
4. Classes, Objects, and Exceptions (25%)
Objectives covered by this section:
exceptions hierarchy, assigning more than one exception to one except branch