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Python Certification Exam Preparation

Topic wise Tests & Grand Tests: 200 Realistic Questions With Clear Explanation for Python Certification-Be a Lead
Course from Udemy
 841 students enrolled
 en
Learn Python 3 by solving Python problems on your own
Optimize your code in terms of processing speed and memory efficiency
Learn the basics of Python classes

These practice tests will cover the following syllabus.

Exam Pattern:

Number of Questions : 40

Duration : 60 Minutes

Questions Type: Multiple Choice, Drag and Drop and Selection from drop down list

Syllabus:

Perform Operations using Data Types and Operators (20-25%)

  • Evaluate an expression to identify the data type Python will assign to each variable

    Identify str, int, float, and bool data types

  • Perform data and data type operations

    Convert from one data type to another type; construct data structures; perform indexing and slicing operations

  • Determine the sequence of execution based on operator precedence

    Assignment; Comparison; Logical; Arithmetic; Identity (is); Containment (in)

  • Select the appropriate operator to achieve the intended result

    Assignment; Comparison; Logical; Arithmetic; Identity (is); Containment (in)

Control Flow with Decisions and Loops (25-30%)

  • Construct and analyze code segments that use branching statements

    if; elif; else; nested and compound conditional expressions

  • Construct and analyze code segments that perform iteration

    while; for; break; continue; pass; nested loops and loops that include compound conditional expressions

Perform Input and Output Operations (20-25%)

  • Construct and analyze code segments that perform file input and output operations

    Open; close; read; write; append; check existence; delete; with statement

  • Construct and analyze code segments that perform console input and output operations

    Read input from console; print formatted text; use of command line arguments

Document and Structure Code (15-20%)

  • Document code segments using comments and documentation strings

    Use indentation, white space, comments, and documentation strings; generate documentation by using pydoc

  • Construct and analyze code segments that include function definitions

    Call signatures; default values; return; def; pass

Perform Troubleshooting and Error Handling (5-10%)

  • Analyze, detect, and fix code segments that have errors

    Syntax errors; logic errors; runtime errors

  • Analyze and construct code segments that handle exceptions

    Try; except; else; finally; raise

Perform Operations Using Modules and Tools (1-5%)

  • Perform basic operations using built-in modules

    Math; datetime; io; sys; os; os.path; random

  • Solve complex computing problems by using built-in modules

    Math; datetime; random


Python Certification Exam Preparation
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