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AWS Certified Machine Learning - Specialty (MLS-C01) Certification Guide

You're reading from AWS Certified Machine Learning - Specialty (MLS-C01) Certification Guide The ultimate guide to passing the MLS-C01 exam on your first attempt

Product type Paperback

Published in Feb 2024

Publisher Packt

ISBN-13 9781835082201

Length 342 pages

Edition 2nd Edition

Languages

Python

Tools

AWS

Concepts

Machine Learning

Authors (2):

Somanath Nanda

Weslley Moura

View More author details

Table of Contents (13) Chapters

Preface

1. Chapter 1: Machine Learning Fundamentals FREE CHAPTER

2. Chapter 2: AWS Services for Data Storage

3. Chapter 3: AWS Services for Data Migration and Processing

4. Chapter 4: Data Preparation and Transformation

5. Chapter 5: Data Understanding and Visualization

6. Chapter 6: Applying Machine Learning Algorithms

7. Chapter 7: Evaluating and Optimizing Models

8. Chapter 8: AWS Application Services for AI/ML

9. Chapter 9: Amazon SageMaker Modeling

10. Chapter 10: Model Deployment

11. Chapter 11: Accessing the Online Practice Resources

12. Other Books You May Enjoy

AWS Services for Data Storage

AWS provides a wide range of services to store your data safely and securely. There are various storage options available on AWS, such as block storage, file storage, and object storage. It is expensive to manage on-premises data storage due to the higher investment in hardware, admin overheads, and managing system upgrades. With AWS storage services, you just pay for what you use, and you don’t have to manage the hardware. You will also learn about various storage classes offered by Amazon S3 for intelligent access to data and to reduce costs. You can expect questions in the exam on storage classes. As you continue through this chapter, you will master the single-AZ and multi-AZ instances, and Recovery Time Objective (RTO) and Recovery Point Objective (RPO) concepts of Amazon RDS.

In this chapter, you will learn about storing your data securely for further analytical purposes throughout the following sections:

Storing data on Amazon...

The rest of the chapter is locked

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Authors (2)

Nanda

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.

See other products by Nanda

Moura

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.

See other products by Moura

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