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98-381 PDF Practice Q&A's
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- Total Questions: 42
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Microsoft 98-381 Practice Test Questions, Microsoft 98-381 Exam Practice Test Questions
The Microsoft 98-381: Introduction to Programming Using Python exam is aimed at helping the candidates have the ability to get through the known fundamentals of writing the syntactically correct Python code so that to find the logical solutions to the given problems. This test exposes the applicants to the Python programming features, language, writing, abilities, maintenance, and debugging of Python code. It is also part of the requirements for the MTA: Introduction to Programming Using Python certification.
Reference: https://www.microsoft.com/en-us/learning/exam-98-381.aspx
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98-381 Exam topics
Candidates must know the exam topics before they start of preparation. Because it will really help them in hitting the core. Our 98-381 exam dumps will include the following topics:
- Perform Troubleshooting and Error Handling 5-10%
- Perform Operations using Data Types and Operations 20-25%
- Perform Operations Using Modules and Tools 1-5%
- Perform Input and Output Operations 20-25%
- Control Flow with Decisions and Loops 25-30%
- Document and Structure Code 15-20%
What is the duration of the 98-381 Exam
- Length of Examination: 45 minutes
- Passing Score: 70%
- Format: Multiple choices, multiple answers, drag & drop, selection from drop-down list
- Number of Questions: 40
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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.
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Microsoft 98-381 Exam Syllabus Topics:
| Section | Objectives |
|---|---|
| Topic 1: File Handling | - Working with files
|
| Topic 2: Data Types and Operators | - Python data handling
|
| Topic 3: General Programming Fundamentals | - Basic programming concepts
|
| Topic 4: Functions and Modules | - Code modularity
|
| Topic 5: Control Flow | - Decision and looping structures
|
| Topic 6: Error Handling and Debugging | - Program reliability
|
| Topic 7: Object-Oriented Programming Basics | - Core OOP concepts
|
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