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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

Processing stored data on AWS

There are several services for processing the data stored in AWS. You will learn about AWS Batch and AWS Elastic MapReduce (EMR) in this section. EMR is a product from AWS that primarily runs MapReduce jobs and Spark applications in a managed way. AWS Batch is used for long-running, compute-heavy workloads.

AWS EMR

EMR is a managed implementation of Apache Hadoop provided as a service by AWS. It includes other components of the Hadoop ecosystem, such as Spark, HBase, Flink, Presto, Hive, and Pig. You will not need to learn about these in detail for the certification exam, but here’s some information about EMR:

EMR clusters can be launched from the AWS console or via the AWS CLI with a specific number of nodes. The cluster can be a long-term cluster or an ad hoc cluster. In a long-running traditional cluster, you have to configure the machines and manage them yourself. If you have jobs that need to be executed faster, then you need...

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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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