Book Image

AWS Certified Machine Learning Specialty: MLS-C01 Certification Guide

By : Somanath Nanda, Weslley Moura
Book Image

AWS Certified Machine Learning Specialty: MLS-C01 Certification Guide

By: Somanath Nanda, Weslley Moura

Overview of this book

The AWS Certified Machine Learning Specialty exam tests your competency to perform machine learning (ML) on AWS infrastructure. This book covers the entire exam syllabus using practical examples to help you with your real-world machine learning projects on AWS. Starting with an introduction to machine learning on AWS, you'll learn the fundamentals of machine learning and explore important AWS services for artificial intelligence (AI). You'll then see how to prepare data for machine learning and discover a wide variety of techniques for data manipulation and transformation for different types of variables. The book also shows you how to handle missing data and outliers and takes you through various machine learning tasks such as classification, regression, clustering, forecasting, anomaly detection, text mining, and image processing, along with the specific ML algorithms you need to know to pass the exam. Finally, you'll explore model evaluation, optimization, and deployment and get to grips with deploying models in a production environment and monitoring them. By the end of this book, you'll have gained knowledge of the key challenges in machine learning and the solutions that AWS has released for each of them, along with the tools, methods, and techniques commonly used in each domain of AWS ML.
Table of Contents (14 chapters)
1
Section 1: Introduction to Machine Learning
4
Section 2: Data Engineering and Exploratory Data Analysis
9
Section 3: Data Modeling

Securing S3 objects at rest and in transit

In the previous section, we learned about bucket default encryption, which is completely different from object-level encryption. Buckets are not encrypted, whereas objects are. A question may arise here: what is bucket default encryption? We will learn these concepts in this section. Data during transmission can be protected by using Secure Socket Layer (SSL) or Transport Layer Security (TLS) for the transfer of the HTTPS requests. The next step is to protect the data, where the authorized person can encode and decode the data.

It is possible to have different encryption settings on different objects in the same bucket. S3 supports Client-Side Encryption (CSE) and Server-Side Encryption (SSE) for objects at rest:

  • Client-Side Encryption: A client uploads the object to S3 via the S3 endpoint. In CSE, the data is encrypted by the client before uploading to S3. Although the transit between the user and the S3 endpoint happens in an...