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Azure Data Scientist Associate Certification Guide

You're reading from  Azure Data Scientist Associate Certification Guide

Product type Book
Published in Dec 2021
Publisher Packt
ISBN-13 9781800565005
Pages 448 pages
Edition 1st Edition
Languages
Authors (2):
Andreas Botsikas Andreas Botsikas
Profile icon Andreas Botsikas
Michael Hlobil Michael Hlobil
Profile icon Michael Hlobil
View More author details

Table of Contents (17) Chapters

Preface 1. Section 1: Starting your cloud-based data science journey
2. Chapter 1: An Overview of Modern Data Science 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 will find a couple of questions to validate your understanding of the topics discussed in this chapter.

  1. What affects the execution order of the pipeline steps?

    a. The order in which the steps were defined when constructing the Pipeline object.

    b. The data dependencies between the steps.

    c. All steps execute in parallel, and you cannot affect the execution order.

  2. True or false: All steps within a pipeline need to execute within the same compute target and Environment.
  3. True or false: PythonScriptStep, by default, reuses the previous execution results if nothing has changed in the parameters or the code files.
  4. You are trying to debug a child run execution issue. Which of the following methods should you call in the StepRun object?

    a. get_file_names

    b. get_details_with_logs

    c. get_metrics

    d. get_details

  5. You have just defined a pipeline in Python code. What steps do you need to make to schedule a daily execution of that pipeline?
...
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