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IT & Software IT Certification Microsoft Certification

Microsoft Python Certification Practice Questions 98-381

Practice Questions for Microsoft Python Certification - Code 98-381
Rating: 3.8 out of 53.8 (11 ratings)
5,415 students
Created by Ajay Tech
Last updated 1/2021
English
30-Day Money-Back Guarantee

Included in This Course

120 questions

  • Set 140 questions
  • Set 240 questions
  • Set 340 questions

Description

Microsoft’s Python Certification is a beginner level Python Certification exam designed to test the basic knowledge of Python. This practice test will prepare you for the Python Certification by letting you practice on tricky questions that will test your knowledge of basic python.


Examination Format

  • Type of Questions - Multiple choices, multiple answers, drag & drop, selection from drop-down list

  • Time - 45 minutes

  • Number of Questions - 40

  • Passing Score - 70 %

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.

Candidates are expected to have had, at a minimum, instruction and/or hands-on experience of approximately 100 hours with the Python programming language, be familiar with its features and capabilities, and understand how to write, debug, and maintain well-formed, well documented Python code

The following areas are measured


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

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

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

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

  • Document and Structure Code (15-20%)

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

------------------------------------------------------------------------------------

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

------------------------------------------------------------------------------------

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

------------------------------------------------------------------------------------

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

------------------------------------------------------------------------------------

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

------------------------------------------------------------------------------------

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

------------------------------------------------------------------------------------

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

Who this course is for:

  • Beginner Python learners

Instructor

Ajay Tech
Data Science and Machine Learning for everybody
Ajay Tech
  • 4.1 Instructor Rating
  • 5,530 Reviews
  • 218,157 Students
  • 7 Courses

Ajay Tech is an IT Training company, focused on Data Science, Machine Learning, Deep Learning and Artificial Intelligence. Ease of learning is our key focus. So, all our courses are tailored specifically for beginners.

Although Python is the main programming language we use to instruct these courses, there are some R versions as well. Visit us on our website for written tutorials and course content.


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