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It's suggested that applicants for 98-381 have notable expertise in writing syntactically correct Python code and handle associates tasks with full perfection. The vendor also recommends the intended candidates to have a bare minimum experience of 100 hours in Python programming language for easy exam journey. Besides that, it is important to have knowledge of Python features and capabilities, code generation procedure, basis principles of debugging the programming issues, and fundamental skills in maintaining the Python code.
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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The Microsoft 98-381 exam consists of various topics which include data types, control flow, functions, and modules. 98-381 exam is designed to provide a comprehensive understanding of the Python programming language and its various features. Passing 98-381 exam will not only validate your knowledge of Python but also demonstrate your ability to solve real-world problems using programming.
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Microsoft 98-381 certification exam is ideal for candidates new to programming using Python or have a little experience with the language. 98-381 exam can also be taken by individuals who wish to enhance their programming skills and knowledge to build a strong foundation in the field of software development or data science. The certificate provides the candidates with the confidence to take on more challenging Python programming tasks and gain advanced-level Python certification.
Reference: https://www.microsoft.com/en-us/learning/exam-98-381.aspx
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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Document and Structure Code | 15-20% | - Structure code using functions and parameters - Organize code into logical blocks - Write comments and docstrings - Follow Python naming conventions and style guidelines |
| Topic 2: Perform Troubleshooting and Error Handling | 5-10% | - Identify syntax, runtime, and logical errors - Raise and handle exceptions appropriately - Implement try/except/finally blocks - Debug and trace code execution |
| 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: Control Flow with Decisions and Loops | 25-30% | - Apply compound conditions and logical expressions - Use control keywords: break, continue, pass - Implement conditional statements: if, elif, else - Construct loops: for, while, nested loops |
| Topic 5: Perform Input and Output Operations | 20-25% | - Open, read, write, append, and close files - Format and display output - Read input from console and command line - Handle file paths and file existence checks |
| Topic 6: 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 |
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