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Domain Understanding control flow operations (using decisions and loops)
Under this domain, one should master the topics such as designing and analyzing code segments, including those that perform iteration and use branching statements. One has to be competent enough in using if/else-if/else, and compound and nested conditional expressions. In addition, the other subtopic focuses on an in-depth understanding of loops like while, break, continue, for, pass, and nested loops.
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This course can help you prepare well for the exam and allow you to get a deep knowledge about the programming language Python so you can score well and achieve success within the IT field. So, here it goes:
- Course 55264-A: Introduction to Programming Using Python
It is a five-day class that is designed for learners who are eager to learn about Python and how to write its code logically to solve different problems. The candidates who are interested in taking the Microsoft 98-381 exam should register for this instructor-led training course in advance. In general, it will help you learn about writing, maintaining, debugging, and documenting the Python code. The experienced programmers who want to get the MTA: Introduction to Programming Using Python certification apply for this training course. There is no formal prerequisite for this class but it is recommended to have experience in performing the command-line processes on a Mac, Windows, and Linux computer and have a six-month experience in any language for programming. All in all, this course has 6 modules that contain the hands-on labs included in it.
Reference: https://www.microsoft.com/en-us/learning/exam-98-381.aspx
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Microsoft 98-381 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Control Flow with Decisions and Loops | 25-30% | - Use control keywords: break, continue, pass - Construct loops: for, while, nested loops - Implement conditional statements: if, elif, else - Apply compound conditions and logical expressions |
| Topic 2: Perform Operations using Data Types and Operators | 20-25% | - Recognize and use data types: str, int, float, bool - Apply arithmetic, comparison, logical, and assignment operators - Evaluate expressions and operator precedence - Perform type conversion and data structure operations |
| Topic 3: Perform Troubleshooting and Error Handling | 5-10% | - Identify syntax, runtime, and logical errors - Debug and trace code execution - Raise and handle exceptions appropriately - Implement try/except/finally blocks |
| Topic 4: Perform Input and Output Operations | 20-25% | - Read input from console and command line - Format and display output - Open, read, write, append, and close files - Handle file paths and file existence checks |
| Topic 5: Perform Operations Using Modules and Tools | 1-5% | - Access module attributes and functions - Solve problems using standard library tools - Import and use built-in modules: math, datetime, random, sys, os |
| Topic 6: Document and Structure Code | 15-20% | - Follow Python naming conventions and style guidelines - Write comments and docstrings - Organize code into logical blocks - Structure code using functions and parameters |
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