Microsoft 98-381日本語 Exam Overview:
| Certification Vendor: | Microsoft |
|---|---|
| Exam Name: | Introduction to Programming Using Python (98-381) |
| Exam Number: | 98-381 |
| Certificate Validity Period: | No expiration (MTA certification) / Retired |
| Available Languages: | English |
| Real Exam Qty: | 40-60 |
| Exam Format: | Multiple select, Multiple choice |
| Passing Score: | 700 (on a 1000 scaled score) |
| Related Certifications: | Microsoft Technology Associate (MTA) certification track |
| Exam Price: | Approximately USD 127 (varies by region) |
| Exam Duration: | 45 minutes |
| Recommended Training: | Microsoft Learn: Python for Beginners |
| Exam Registration: | Microsoft Certification Registration Pearson VUE Microsoft Exams |
| Sample Questions: | Microsoft 98-381日本語 Sample Questions |
| Exam Way: | Available via online proctored exam or authorized testing centers (Pearson VUE) |
| Pre Condition: | No formal prerequisites required |
| Official Syllabus URL: | https://learn.microsoft.com/credentials/certifications/mta-introduction-to-programming-using-python/ |
What Are Objectives Included in Microsoft 98-381 Evaluation?
The candidates who want to take the Microsoft 98-381 certification exam should demonstrate their skills in the following domains:
- Control flow with decisions and loops (25-30%);
- Document and structure code (15-20%);
- Perform operations using data types and operators (20-25%).
- Perform error handling and troubleshooting (5-10%);
- Complete operations using tools and modules (1-5%);
- Accomplish input and output operations (20-25%);
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:
- 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.
- 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.
Domain Taking care of Troubleshooting & Error Handling
Speaking of the fifth domain, it is all about knowing the ins and outs of Python-related troubleshooting and error handling. This section tries to impart best-of-breed understanding about analyzing, detecting and fixing error code segments that are known to involve errors. Applicants have to learn more about the errors related to syntax, logic, and runtime. In addition, one's knowledge of analyzing and constructing exception handling code segments is required.
Microsoft 98-381日本語 Exam Syllabus Topics:
| Section | Objectives |
|---|---|
| Error Handling and Debugging | - Program reliability
|
| Data Types and Operators | - Python data handling
|
| Control Flow | - Decision and looping structures
|
| File Handling | - Working with files
|
| General Programming Fundamentals | - Basic programming concepts
|
| Functions and Modules | - Code modularity
|
| Object-Oriented Programming Basics | - Core OOP concepts
|


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