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Candidates for this exam should be able to recognize and write syntactically correct Python code, recognize data types supported by Python, and be able to recognize and write Python code that will logically solve a given problem.
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 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.
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.
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.
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.
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.
Reference: https://www.microsoft.com/en-us/learning/exam-98-381.aspx
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Domain Document & Structure Code
The fourth part of 98-381 outline covers only 15-20% of the content. That being said, it provides a notable understanding of document as well as structure codes and requires a candidate to gain a better hold over constructing and analyzing those segments of code that involve function definitions.
The questions under this section will assess one's skills in using comments & documentation strings, indentation implementation, and white space. Also, one should have a solid understanding of generating documentation through pydoc, default values, call signatures, and return and pass segments.
Microsoft 98-381 Exam Syllabus Topics:
| Section | Objectives |
|---|---|
| Topic 1: Error Handling and Debugging | - Program reliability
|
| Topic 2: Control Flow | - Decision and looping structures
|
| Topic 3: General Programming Fundamentals | - Basic programming concepts
|
| Topic 4: Functions and Modules | - Code modularity
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| Topic 5: Object-Oriented Programming Basics | - Core OOP concepts
|
| Topic 6: File Handling | - Working with files
|
| Topic 7: Data Types and Operators | - Python data handling
|
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