Microsoft Introduction to Programming Using Python : 98-381 exam

98-381
  • Exam Code: 98-381
  • Exam Name: Introduction to Programming Using Python
  • Updated: Jun 01, 2026
  • Q & A: 42 Questions and Answers

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About Microsoft Introduction to Programming Using Python : 98-381 Exam Questions

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Languages: English, Japanese, Chinese (Traditional), Chinese (Simplified), Spanish, Portuguese (Brazil), French, German, Korean

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.

Who should take the 98-381 exam

The Introduction to Programming Using Python 98-381 Exam certification is an internationally recognized validation that identifies persons who earn it as possessing skilled as a Microsoft Certified Technology Associate. If candidates want significant improvement in career growth needs enhanced knowledge, skills, and talents. The Introduction to Programming Using Python 98-381 Exam certification provides proof of this advanced knowledge and skill. If a candidate has knowledge of associated technologies and skills that are required to pass Introduction to Programming Using Python 98-381 Exam then he should take this exam.

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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:

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

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