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Build real world applications with Python Microsoft Quiz Answers
Get Build real world applications with Python Microsoft Quiz Answers
Interested in learning to build apps in Python, that you can maintain? You will learn language syntax but also patterns for how to structure your app.
In this learning path, you’ll:
- Write your first lines of Python code
- Explore patterns like object orientation
- Build real apps
Once you complete this learning path, you will have a great foundation to build large applications.
Prerequisites:
None
Module 2: Introduction to object-oriented programming with Python
This module will teach you how to model problems by using object-oriented programming (OOP) concepts. You’ll also learn to turn your model into working code by using OOP concepts like classes, attributes, and methods.
Learning objectives:
After completing this module, you’ll be able to:
- Model problems by using OOP concepts.
- Describe the basic concepts involved in OOP.
- Distinguish classes from objects.
Prerequisites:
- Basic knowledge of Python – syntax, writing and invoking functions, creating variables, reading inputs, and generating outputs from the Python console
- Familiarity with using a text editor or IDE
- Knowledge on how to execute a Python program
- Python keywords
- Knowing how to raise exceptions in Python
This module is part of these learning paths:
Quiz 1: Knowledge check
Q1. What is the difference between a class and an object?
- They’re the same thing.
- A class is a blueprint. An object is the concrete instance you build from the blueprint.
- A class has data and an object doesn’t.
- A class has methods and an object doesn’t.
Q2. How does Python implement accessors?
- It uses prefixes. One underscore,
_, at the beginning of the name indicates this variable is protected. Two underscores,__, make the variable private and will raise an exception if assigned. - It uses keywords private and public.
- Everything in a Python class is hidden by default and must be exposed by adding methods that return the variables’ values.
- Add the decorator @public or @private to make something public or private.
Q3. Choose the best explanation that explains the parameter self.
- It’s a parameter that refers to the object instance. You can also use
this. - The
selfparameter refers to the underlying class of the object. - The only time
selfis used is to refer to members of the object, and it’s passed as a parameter. - The
selfparameter refers to the object instance. Assignment toselfmeans that the attribute ends up on the object instance.
Module 3: Build an AI web app by using Python and Flask
Use Python, Flask, and Azure Cognitive Services to build a web app that incorporates AI
Learning objectives:
In this module, you’ll build a website using Flask and Cognitive Services to translate text.
- Learn how to set up a Flask development environment
- Learn how to use Flask to build a form
- Learn how to use the Translator service to translate text
Prerequisites:
- An Azure account. Learn how to create a free account in Create an Azure account.
- Python 3.6 or later and VS code installed on your computer. Follow the steps in the Install Python 3 module. At the top of the article, choose the instructions for your configuration: Windows, Linux, or macOS.
- Visual Studio Code
This module is part of these learning paths:
Quiz 1: Flask fundamentals
Q1. Flask is a framework for building web apps in which of the following languages?
- Python and Node.js
- Python and Java
- Python only
Quiz 2: Exercise – Create an app
Q1. What is the default port number that Flask uses to service HTTP requests?
- 80
- 5000
- 8080
Q2. In what subdirectory should Jinja template files be stored by default?
- templates
- static
- html
Quiz 3: Exercise – Call Translator service
Q1. What is the name of the HTTP header that carries API keys in calls to Azure Cognitive Services?
- Ocp-Apim-Cognitive-Key
- Ocp-Apim-Subscription-Key
- Ocp-Apim-Auth-Key
Module 4: Get started with testing in Python
Start testing with Python using the unittest module. Get exposed to other testing concepts like functional and integration testing.
Learning objectives:
By the end of this module, you’ll be able to:
- Write tests using
unittest: Python’s standard library testing module - Identify and fix failures by reading test failure reports
- Differentiate between unit, functional, and integration testing types
Prerequisites:
- Ability to write Python scripts
- Familiarity with command-line tools and executing scripts
- Python 3.6 or later installed on your computer. Follow the steps in the Install Python 3 module. At the top of the article, choose the instructions for your configuration: Windows, Linux, or macOS.
This module is part of these learning paths:
Quiz 1: Knowledge check
Q1. What is one common side-effect for functions when there are no tests involved?
- Functions will run faster because they don’t need to use tests.
- Functions can grow in complexity and size.
- Functions will run slower and have more arguments.
Q2. What is a recognizable aspect in functions and methods when testing is involved?
- They tend to have a single responsibility instead of doing many different things
- They’re more flexible, allowing more arguments
- They don’t tend to raise exceptions
Q3. What is the correct Python invocation to use test auto discovery?
- python -m autodiscovery
- python -m discovery
- python -m unittest
Conclusion:
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This Problem is intended for audiences of all experiences who are interested in learning about Data Science in a business context; there are no prerequisites.
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