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You're reading from  Azure Data Scientist Associate Certification Guide

Product typeBook
Published inDec 2021
Reading LevelBeginner
PublisherPackt
ISBN-139781800565005
Edition1st Edition
Languages
Python
Tools
Azure Functions
Concepts
Machine Learning
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Authors (2):
Andreas Botsikas
Andreas Botsikas
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Andreas Botsikas

Andreas Botsikas is an experienced advisor working in the software industry. He has worked in the finance sector, leading highly efficient DevOps teams, and architecting and building high-volume transactional systems. He then traveled the world, building AI-infused solutions with a group of engineers and data scientists. Currently, he works as a trusted advisor for customers onboarding into Azure, de-risking and accelerating their cloud journey. He is a strong engineering professional with a Doctor of Philosophy (Ph.D.) in resource optimization with artificial intelligence from the National Technical University of Athens.
Read more about Andreas Botsikas

Michael Hlobil
Michael Hlobil
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Michael Hlobil

Michael Hlobil is an experienced architect focused on quickly understanding customers' business needs, with over 25 years of experience in IT pitfalls and successful projects, and is dedicated to creating solutions based on the Microsoft Platform. He has an MBA in Computer Science and Economics (from the Technical University and the University of Vienna) and an MSc (from the ESBA) in Systemic Coaching. He was working on advanced analytics projects in the last decade, including massive parallel systems and Machine Learning systems. He enjoys working with customers and supporting the journey to the cloud.
Read more about Michael Hlobil

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Questions

Please answer the following questions to check your knowledge of the topics that were discussed in this chapter:

  1. What is the default minimum number of nodes for an AzureML compute cluster?

    a. 0

    b. 1

    c. Equal to the maximum number of nodes

  2. You upload a CSV file to the default datastore that contains credit card transaction details. Which of the following methods should you use to create a dataset reference?

    a. Dataset.File.from_files()

    b. Dataset.Tabular.from_delimited_files()

    c. Workspace.from_csv_files()

    d. Datastore.from_csv_files()

  3. How can you force the creation of a blob container during the registration process of an Azure blob-based datastore?

    a. Pass the force_create=True parameter to the Datastore.register_azure_blob_container() method.

    b. Pass the create_if_not_exists=True parameter to the Datastore.register_azure_blob_container() method.

    c. Pass the force_create=True parameter to the Datastore.register_container() method.

    b. Pass the create_if_not_exists=True...

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Azure Data Scientist Associate Certification Guide
Published in: Dec 2021Publisher: PacktISBN-13: 9781800565005
© 2021 Packt Publishing Limited All Rights Reserved

Authors (2)

author image
Andreas Botsikas

Andreas Botsikas is an experienced advisor working in the software industry. He has worked in the finance sector, leading highly efficient DevOps teams, and architecting and building high-volume transactional systems. He then traveled the world, building AI-infused solutions with a group of engineers and data scientists. Currently, he works as a trusted advisor for customers onboarding into Azure, de-risking and accelerating their cloud journey. He is a strong engineering professional with a Doctor of Philosophy (Ph.D.) in resource optimization with artificial intelligence from the National Technical University of Athens.
Read more about Andreas Botsikas

author image
Michael Hlobil

Michael Hlobil is an experienced architect focused on quickly understanding customers' business needs, with over 25 years of experience in IT pitfalls and successful projects, and is dedicated to creating solutions based on the Microsoft Platform. He has an MBA in Computer Science and Economics (from the Technical University and the University of Vienna) and an MSc (from the ESBA) in Systemic Coaching. He was working on advanced analytics projects in the last decade, including massive parallel systems and Machine Learning systems. He enjoys working with customers and supporting the journey to the cloud.
Read more about Michael Hlobil

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