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What career opportunities are associated with the Microsoft 98-381 exam?
After completing the Microsoft 98-381 exam, you will get the MTA: Introduction to Programming Using Python certificate. The individuals with this certification can effectively work with Python at the professional level. These people are ready to explore the cutting-edge aspects of the general-purpose, high-level programming language as well as related technologies. The most popular job roles that the certified candidates can apply for with this certificate include Data Scientists, DevOps Engineers, System Admins, Web Developers, Application Developers, and Python Developers. These titles also come with a good salary package. On average, those who have obtained the MTA certification can earn about $101,000 per year. Specifically, these are the salaries for each position:
- Software Engineer: $89,003
- Data Scientist: $91,838
- Software Developer: $118,950
- DevOps Engineer: $93,931
- Senior Software Engineer: $129,000
Microsoft Introduction to Programming Using Python Exam Certification Details:
| Exam Code | 98-381 |
| 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 |
| Exam Price | $127 (USD) |
| Number of Questions | 40-60 |
| Passing Score | 700 / 1000 |
| Duration | 45 mins |
Reference: https://www.microsoft.com/en-us/learning/exam-98-381.aspx
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What is the duration of the 98-381 Exam
- Length of Examination: 45 minutes
- Number of Questions: 40
- Passing Score: 70%
- Format: Multiple choices, multiple answers, drag & drop, selection from drop-down list
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Microsoft 98-381 Exam Syllabus Topics:
| Section | Objectives |
|---|---|
| Topic 1: Functions and Modules | - Code modularity
|
| Topic 2: General Programming Fundamentals | - Basic programming concepts
|
| Topic 3: Object-Oriented Programming Basics | - Core OOP concepts
|
| Topic 4: Control Flow | - Decision and looping structures
|
| Topic 5: Error Handling and Debugging | - Program reliability
|
| Topic 6: File Handling | - Working with files
|
| Topic 7: Data Types and Operators | - Python data handling
|
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