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You're reading from  AWS Certified Machine Learning Specialty: MLS-C01 Certification Guide

Product typeBook
Published inMar 2021
Reading LevelBeginner
PublisherPackt
ISBN-139781800569003
Edition1st Edition
Languages
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Authors (2):
Somanath Nanda
Somanath Nanda
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Somanath Nanda

Somanath has 10 years of working experience in IT industry which includes Prod development, Devops, Design and architect products from end to end. He has also worked at AWS as a Big Data Engineer for about 2 years.
Read more about Somanath Nanda

Weslley Moura
Weslley Moura
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Weslley Moura

Weslley Moura has been developing data products for the past decade. At his recent roles, he has been influencing data strategy and leading data teams into the urban logistics and blockchain industries.
Read more about Weslley Moura

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Securing SageMaker notebooks

If you are reading this section of the chapter, then you have already learned how to use notebook instances, which type of training instances should be chosen, and how to configure and use endpoints. Now, let's learn about securing those instances. The following aspects will help to secure the instances:

  • Encryption: When we say or think about securing via encryption, then it is all about the data. But what does this mean? It means protecting data at rest using encryption, protecting data in transit with encryption, and using KMS for better role separation and internet traffic privacy through TLS 1.2 encryption. SageMaker instances can be launched with encrypted volumes by using an AWS-managed KMS key. This helps you to secure the Jupyter Notebook server by default.
  • Root access: When a user opens a shell terminal from the Jupyter Web UI, they will be logged in as ec2-user, which is the default username in Amazon Linux. Now the user can run...
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AWS Certified Machine Learning Specialty: MLS-C01 Certification Guide
Published in: Mar 2021Publisher: PacktISBN-13: 9781800569003

Authors (2)

author image
Somanath Nanda

Somanath has 10 years of working experience in IT industry which includes Prod development, Devops, Design and architect products from end to end. He has also worked at AWS as a Big Data Engineer for about 2 years.
Read more about Somanath Nanda

author image
Weslley Moura

Weslley Moura has been developing data products for the past decade. At his recent roles, he has been influencing data strategy and leading data teams into the urban logistics and blockchain industries.
Read more about Weslley Moura