What are the main topics of the Microsoft 98-381 exam?
It is highly recommended for those students who are preparing for this Microsoft exam to visit the official website and find out the information about all the topics that are included in its content. Speaking of the covered subject areas, you should train the following:
Perform Operations Using Modules and Tools (1-5%):
The last topic is about your competence in built-in modules used to perform basic operations and solve complex computing problems.
Perform Operations Using Data Types and Operators (20-25%):
This part includes the following areas:
- Evaluate an expression to identify the data type that Python will assign to each variable: The candidates should know how to identify data types, such as string, integer, float, and bool.
- Perform data and data type operations: The individuals’ abilities to convert from one data type to another, construct data structures, and perform indexing and slicing operations are measured in this domain.
Moreover, the test takers have to be skilled in determining the sequence of execution based on operator precedence and selection of the appropriate operator to achieve the intended result.
Control Flow with Decisions and Loops (25-30%):
Here the learners have to show their knowledge of the construction and analysis of code segments that use branching statements and perform iteration. They should also know about the compound and nested conditional expressions, such as if, else, break, for, pass, while, continue, as well as nested loops and loops that include compound conditional expressions.
Perform Troubleshooting and Error Handlings (5-10%):
In this section, the applicants have to demonstrate their expertise in analyzing, detecting, and fixing code segments that have errors as well as analyzing and constructing code segments that handle exceptions.
Document and Structure Code (15-20%):
This topic is all about the students’ ability to use documentation strings and comments to document code segments construct and analyze code segments, which include function definitions, use indentation, comments, white space, and documentation strings, call signatures, and use pydoc to generate documentation.
Perform Output and Input Operations (20-25%):
This section requires your ability to construct and analyze code segments that perform file input and output operations, such as open, close, read, write, append, check existence, and delete. The candidates’ skills in constructing and analyzing code segments that perform console input and output operations are evaluated as well. They should be able to read input from the console, print formatted text, and use command-line arguments.
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Official Training Recommended for Microsoft 98-381
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 | Objectives |
|---|---|
| General Programming Fundamentals | - Basic programming concepts
|
| Functions and Modules | - Code modularity
|
| Error Handling and Debugging | - Program reliability
|
| Control Flow | - Decision and looping structures
|
| Object-Oriented Programming Basics | - Core OOP concepts
|
| File Handling | - Working with files
|
| Data Types and Operators | - Python data handling
|

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