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  • Exam Code: 98-381J
  • Exam Name: Introduction to Programming Using Python (98-381日本語版)
  • Last Updated: Aug 17, 2026
  • Q & A: 42 Questions and Answers
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  • Exam Name: Introduction to Programming Using Python (98-381日本語版)
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The Microsoft 98-381 is an industry-standard certification exam that provides you an opportunity to demonstrate your knowledge of Python. If you are looking forward to pursuing your career in programming languages, you should pass this exam. It will lead you to achieve a prestigious certification known as the MTA: Introduction to Programming Using Python.

Microsoft Introduction to Programming Using Python Exam Certification Details:

Passing Score700 / 1000
Sample QuestionsMicrosoft Introduction to Programming Using Python Sample Questions
Exam Code98-381
Exam Price$127 (USD)
Duration45 mins
Exam NameMicrosoft Technology Associate (MTA) - Introduction to Programming Using Python
Number of Questions40-60
Schedule ExamPearson VUE

What are the main topics of the Microsoft 98-381 exam?

It is highly recommended for those students who are preparing for this Microsoft exam to visit the official website and find out the information about all the topics that are included in its content. Speaking of the covered subject areas, you should train the following:

  • Document and Structure Code (15-20%):

    This topic is all about the students’ ability to use documentation strings and comments to document code segments construct and analyze code segments, which include function definitions, use indentation, comments, white space, and documentation strings, call signatures, and use pydoc to generate documentation.

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

    The last topic is about your competence in built-in modules used to perform basic operations and solve complex computing problems.

  • Perform Output and Input Operations (20-25%):

    This section requires your ability to construct and analyze code segments that perform file input and output operations, such as open, close, read, write, append, check existence, and delete. The candidates’ skills in constructing and analyzing code segments that perform console input and output operations are evaluated as well. They should be able to read input from the console, print formatted text, and use command-line arguments.

  • Perform Operations Using Data Types and Operators (20-25%):

    This part includes the following areas:

    • Evaluate an expression to identify the data type that Python will assign to each variable: The candidates should know how to identify data types, such as string, integer, float, and bool.
    • Perform data and data type operations: The individuals’ abilities to convert from one data type to another, construct data structures, and perform indexing and slicing operations are measured in this domain.

    Moreover, the test takers have to be skilled in determining the sequence of execution based on operator precedence and selection of the appropriate operator to achieve the intended result.

  • Perform Troubleshooting and Error Handlings (5-10%):

    In this section, the applicants have to demonstrate their expertise in analyzing, detecting, and fixing code segments that have errors as well as analyzing and constructing code segments that handle exceptions.

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

    Here the learners have to show their knowledge of the construction and analysis of code segments that use branching statements and perform iteration. They should also know about the compound and nested conditional expressions, such as if, else, break, for, pass, while, continue, as well as nested loops and loops that include compound conditional expressions.

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

Microsoft 98-381日本語 Exam Syllabus Topics:

SectionObjectives
Topic 1: Data Types and Operators- Python data handling
  • 1. Numeric, string, and boolean types
    • 2. Operators and expressions
      Topic 2: Error Handling and Debugging- Program reliability
      • 1. Understanding exceptions
        • 2. Debugging basic Python code
          Topic 3: Control Flow- Decision and looping structures
          • 1. if/elif/else statements
            • 2. for and while loops
              Topic 4: Object-Oriented Programming Basics- Core OOP concepts
              • 1. Basic inheritance concepts
                • 2. Classes and objects
                  Topic 5: File Handling- Working with files
                  • 1. Reading and writing files
                    Topic 6: Functions and Modules- Code modularity
                    • 1. Defining and calling functions
                      • 2. Using standard libraries and modules
                        Topic 7: General Programming Fundamentals- Basic programming concepts
                        • 1. Understanding algorithms and logic
                          • 2. Writing simple Python programs

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