Microsoft 98-381 : Introduction to Programming Using Python

98-381 real exams

Exam Code: 98-381

Exam Name: Introduction to Programming Using Python

Updated: Nov 09, 2026

Q & A: 42 Questions and Answers

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Official Training Recommended for Microsoft 98-381

This course can help you prepare well for the exam and allow you to get a deep knowledge about the programming language Python so you can score well and achieve success within the IT field. So, here it goes:

  • Course 55264-A: Introduction to Programming Using Python

    It is a five-day class that is designed for learners who are eager to learn about Python and how to write its code logically to solve different problems. The candidates who are interested in taking the Microsoft 98-381 exam should register for this instructor-led training course in advance. In general, it will help you learn about writing, maintaining, debugging, and documenting the Python code. The experienced programmers who want to get the MTA: Introduction to Programming Using Python certification apply for this training course. There is no formal prerequisite for this class but it is recommended to have experience in performing the command-line processes on a Mac, Windows, and Linux computer and have a six-month experience in any language for programming. All in all, this course has 6 modules that contain the hands-on labs included in it.

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

Books for Preparing for Microsoft 98-381 Validation

You can use the following revision guides for advancing your knowledge about Python as well as its features and functionalities. Grab them from Amazon to enhance your knowledge and get success in the official Microsoft 98-381 test:

  • Introduction to Computation and Programming Using Python by John V. Guttag

    A book like this introduces the candidates to programming using Python. Thus, you can solve the computational problems using Python as well as various Python libraries. It then provides you with the skills that will help you make productive use of computational techniques and tools. After that, it helps you learn about the use of computation to model and interpret the data on machine learning. To achieve an understanding of Python and its appropriate usage, you can fetch such a helpful guide from Amazon today.

  • Python Crash Course, 2nd Edition: A Hands-On, Project-Based Introduction to Programming by Eric Matthes

    Being the bestseller in Python programming, this noteworthy guide will cater to all those who are only getting acquainted with this language. In particular, such a manual targets beginning programmers who are aspiring to learn how to solve Python-related issues, write programs, and create workable stuff in the nick of time. In terms of the skill areas addressed by this revision material, they revolve around varied Python tools for creating libraries like Pygame & Django, making 2D games, customizing web applications, and identifying the errors that stumble the process of doing programming like a pro. So, if with time, you’ve tasked yourself to become a real Python geek, then a book like this is the best-in-class material that’ll serve this purpose to the full extent.

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Microsoft 98-381 Practice Test Questions, Microsoft 98-381 Exam Practice Test Questions

The Microsoft 98-381: Introduction to Programming Using Python exam is aimed at helping the candidates have the ability to get through the known fundamentals of writing the syntactically correct Python code so that to find the logical solutions to the given problems. This test exposes the applicants to the Python programming features, language, writing, abilities, maintenance, and debugging of Python code. It is also part of the requirements for the MTA: Introduction to Programming Using Python certification.

Microsoft 98-381 Exam Syllabus Topics:

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

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