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Azure Data Scientist Associate Certification Guide

You're reading from   Azure Data Scientist Associate Certification Guide A hands-on guide to machine learning in Azure and passing the Microsoft Certified DP-100 exam

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Product type Paperback
Published in Dec 2021
Publisher Packt
ISBN-13 9781800565005
Length 448 pages
Edition 1st Edition
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Authors (2):
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Andreas Botsikas Andreas Botsikas
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Andreas Botsikas
Michael Hlobil Michael Hlobil
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Michael Hlobil
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Toc

Table of Contents (17) Chapters Close

Preface 1. Section 1: Starting your cloud-based data science journey
2. Chapter 1: An Overview of Modern Data Science FREE CHAPTER 3. Chapter 2: Deploying Azure Machine Learning Workspace Resources 4. Chapter 3: Azure Machine Learning Studio Components 5. Chapter 4: Configuring the Workspace 6. Section 2: No code data science experimentation
7. Chapter 5: Letting the Machines Do the Model Training 8. Chapter 6: Visual Model Training and Publishing 9. Section 3: Advanced data science tooling and capabilities
10. Chapter 7: The AzureML Python SDK 11. Chapter 8: Experimenting with Python Code 12. Chapter 9: Optimizing the ML Model 13. Chapter 10: Understanding Model Results 14. Chapter 11: Working with Pipelines 15. Chapter 12: Operationalizing Models with Code 16. Other Books You May Enjoy

Questions

In each chapter, you should find a couple of questions that will allow you to perform a knowledge check on the topics discussed in this chapter:

  1. Which of the following are applicable ways of deploying the Azure ML workspace?

    a. Azure CLI through the azure-cli-ml extension

    b. The Azure portal

    c. The deployment of an ARM template

    d. Azure ML Python SDK

  2. You are creating a custom role and you want to deny the ability to delete a workspace. Where do you need to add the Microsoft.MachineLearningServices/workspaces/delete action?

    a. To the Actions section of the JSON definition

    b. To the NotActions section of the JSON definition

    c. To the AssignableScopes section of the JSON definition

  3. What do you have to install in the Azure CLI before you can deploy an Azure ML workspace?
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