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Microsoft Introduction to Programming Using Python Exam Certification Details:
| Passing Score | 700 / 1000 |
| Exam Price | $127 (USD) |
| Duration | 45 mins |
| Schedule Exam | Pearson VUE |
| Exam Name | Microsoft Technology Associate (MTA) - Introduction to Programming Using Python |
| Sample Questions | Microsoft Introduction to Programming Using Python Sample Questions |
| Number of Questions | 40-60 |
| Exam Code | 98-381 |
Reference: https://www.microsoft.com/en-us/learning/exam-98-381.aspx
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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Microsoft 98-381日本語 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Perform Input and Output Operations | 20-25% | - Handle file paths and file existence checks - Open, read, write, append, and close files - Format and display output - Read input from console and command line |
| Topic 2: Control Flow with Decisions and Loops | 25-30% | - Implement conditional statements: if, elif, else - Apply compound conditions and logical expressions - Construct loops: for, while, nested loops - Use control keywords: break, continue, pass |
| Topic 3: Perform Operations Using Modules and Tools | 1-5% | - Import and use built-in modules: math, datetime, random, sys, os - Solve problems using standard library tools - Access module attributes and functions |
| Topic 4: Document and Structure Code | 15-20% | - Organize code into logical blocks - Structure code using functions and parameters - Follow Python naming conventions and style guidelines - Write comments and docstrings |
| Topic 5: Perform Operations using Data Types and Operators | 20-25% | - Perform type conversion and data structure operations - Apply arithmetic, comparison, logical, and assignment operators - Evaluate expressions and operator precedence - Recognize and use data types: str, int, float, bool |
| Topic 6: Perform Troubleshooting and Error Handling | 5-10% | - Debug and trace code execution - Identify syntax, runtime, and logical errors - Raise and handle exceptions appropriately - Implement try/except/finally blocks |
