MTA-Python-Exam-Preparation

(MICROSOFT) Introduction to Programming Using Python

A-About Test

The test comprises 40 questions to be completed in 45 minutes. Some of the questions are too lengthy and there can be short sub-questions in a question. So, you need to be very fast while attempting this test.

B-Syllabus

1-Perform Operations using Data Types and Operators (20-25%)

Evaluate an expression to identify the data type Python will assign to each variable

• Identify str, int, float, and bool data types

Perform data and data type operations

• Convert from one data type to another type; construct data structures; perform indexing and slicing operations

Determine the sequence of execution based on operator precedence

• Assignment; Comparison; Logical; Arithmetic; Identity (is); Containment (in)

Select the appropriate operator to achieve the intended result

• Assignment; Comparison; Logical; Arithmetic; Identity (is); Containment (in)

2-Control Flow with Decisions and Loops (25-30%)

Construct and analyze code segments that use branching statements

• if; elif; else; nested and compound conditional expressions

Construct and analyze code segments that perform iteration

• while; for; break; continue; pass; nested loops and loops that include compound conditional expressions

3-Perform Input and Output Operations (20-25%)

Construct and analyze code segments that perform file input and output operations

• Open; close; read; write; append; check existence; delete; with statement

Construct and analyze code segments that perform console input and output operations

• Read input from console; print formatted text; use of command line arguments

4-Document and Structure Code (15-20%)

Document code segments using comments and documentation strings

• Use indentation, white space, comments, and documentation strings; generate documentation by using pydoc

Construct and analyze code segments that include function definitions

• Call signatures; default values; return; def; pass

5-Perform Troubleshooting and Error Handling (5-10%)

Analyze, detect, and fix code segments that have errors

• Syntax errors; logic errors; runtime errors

Analyze and construct code segments that handle exceptions

• Try; except; else; finally; raise

6-Perform Operations Using Modules and Tools (1-5%)

Perform basic operations using built-in modules

• Math; datetime; io; sys; os; os.path; random

Solve complex computing problems by using built-in modules

• Math; datetime; random

C-Preparation Material

1. Microsoft Lectures [download]
2. Keywords in Python

3. Python operators precedence chart

4. Modes for opening file

5. Python Crash Course: Chapter 2-8, 10 [download]
6. Random Numbers [Link]
7. Pydoc and docstring [link1] and [link2]
8. Math module [link]
9. Sys module [link1] and [link2]

D-Practice Tests

Following are few sources, that you can consult for practicing for the exam.

1. SanFoundary [link]
2. GeeksForGeeks [link]
3. YouTube [link]

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