Microsoft 98-381 - Introduction to Programming Using Python

Microsoft 98-381 Actual PDF
  • Exam Code: 98-381
  • Exam Name: Introduction to Programming Using Python
  • Updated: Aug 09, 2026
  • Q & A: 42 Questions and Answers
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98-381 Exam topics

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  • Document and Structure Code 15-20%
  • Control Flow with Decisions and Loops 25-30%
  • Perform Troubleshooting and Error Handling 5-10%
  • Perform Input and Output Operations 20-25%
  • Perform Operations using Data Types and Operations 20-25%
  • Perform Operations Using Modules and Tools 1-5%

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Exam 98-381: Introduction to Programming Using Python

This MTA exam will be retired on June 30, 2022. Voucher sales for this exam ended on June 30, 2021. Use the “Schedule with Pearson VUE” or “Schedule with Certiport” buttons below to redeem a purchased voucher and schedule your exam. Refer to the FAQ for more details.

Candidates for this exam should be able to recognize and write syntactically correct Python code, recognize data types supported by Python, and be able to recognize and write Python code that will logically solve a given problem.

Candidates are expected to have had, at a minimum, instruction and/or hands-on experience of approximately 100 hours with the Python programming language, be familiar with its features and capabilities, and understand how to write, debug, and maintain well-formed, well documented Python code.

Part of the requirements for: MTA: Introduction to Programming Using Python

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Reference: https://www.microsoft.com/en-us/learning/exam-98-381.aspx

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Microsoft 98-381 Exam Syllabus Topics:

SectionObjectives
Data Types and Operators- Python data handling
  • 1. Operators and expressions
    • 2. Numeric, string, and boolean types
      Control Flow- Decision and looping structures
      • 1. if/elif/else statements
        • 2. for and while loops
          Functions and Modules- Code modularity
          • 1. Using standard libraries and modules
            • 2. Defining and calling functions
              Error Handling and Debugging- Program reliability
              • 1. Debugging basic Python code
                • 2. Understanding exceptions
                  General Programming Fundamentals- Basic programming concepts
                  • 1. Understanding algorithms and logic
                    • 2. Writing simple Python programs
                      Object-Oriented Programming Basics- Core OOP concepts
                      • 1. Basic inheritance concepts
                        • 2. Classes and objects
                          File Handling- Working with files
                          • 1. Reading and writing files

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