a night time photo of a lighthouse with stars shaped like a brain in the sky to symbolize machine learning

How to use this website

For most people effective learning is active learning. Frequent, targeted, testing can help to keep interest, measure achievements and identify weaknesses requiring further study. This site has 25+ tests with 193 questions and answers to help you pass the AWS Certified Machine Learning Specialty exam.

Suggest exam preparation strategy

  1. Go through each knowledge domain in order
  2. In each article have a go at the 5 to 10 questions in the test app at the begining.
  3. Read and understand the material in the article.
  4. Answer the 10 to 20 questions in the test app at the end of the article. Keep repeating the test until you get them all correct.

The test app

This is the test app to access over 25 tests containing 192 questions. Each app is one test containing 5 to 20 questions. You answer all the questions and your results are displayed at the end. Try to answer these questions about Data Repositories, which is part of the Data Engineering knowledge domain. Don’t worry if you do not get many correct.

a screen shot image of the questions and answer test app
Image of the test question app in the Study Guide Machine Learning data repositories compared

Now read through this article: Machine Learning data repositories compared and answer the questions at the bottom of the page. Keep repeating the test at the end of the article, referring to the subject matter in the article, until you get 100%. remember the questions are not just to test you, they are also teaching you.

When you have completed all the Study Guides you are ready to take the Free Practice Exam which has AWS exam style questions.

About the exam

AWS certified Machine Learning Speciality icon

The AWS Certified Machine Learning Specialty exam is a Professional level certification exam from AWS. The exam is taken by experienced developers, engineers and data scientists who either wish to learn how AWS does Machine Learning, or wish to validate their existing knowledge. The exam is a multiple choice test taken at approved AWS test centres. The MLS-C01 exam is divided into four knowledge domains and sixteen sub-domains. This website has study guides that are organised in the same domain and sub-domain structure providing a learning path for the AWS ML exam. Each sub-domain has it’s own study guide with questions and answers so you can test your knowledge and validate your progress.

Machine Learning exam details

  • Exam title: AWS Certified Machine Learning – Specialty
  • Exam code: MLS-C01
  • Exam cost: $300 USD
  • Number of questions in exam: 65 Multiple choice
  • Number of marks in exam: 100 – 1000
  • Exam pass mark: 750 (pass or fail, no grades)
  • Time allowed in exam: 180 minutes
  • How to book the exam: Register with AWS training and book on-line. https://www.aws.training/Dashboard

Exam content structure

The exam content is divided into four knowledge domains each contributing a different proportion of the exam marks. The exame content is explained with a bit more detail in the Exam Guide from AWS.

  1. Data Engineering – 20%
  2. Exploratory Data Analysis – 24%
  3. Modeling – 36%
  4. Machine Learning Implementation and Operations – 20%
Infographic that shows the domains of the AWS Machine Learning Specialty exam
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Resources

Test index

Frequent, targeted, testing can help to keep interest, measure achievements and identify weaknesses requiring further study. There are over 25 tests are embedded in the Study Guides. The Test Index has links to take you to each test.

Curated videos

Videos are a great way to learn. You can use them one at a time to reinforce what you have learnt from the study guides, or binge watch loads to give you an overview of the subject. Each video has been chosen with care to illustrate a specific topic covered by the study guides. Longer videos have a timeline added so you can zero in on the specific information you need. The Videos Index has links to each video.

Infographics

Infographics brings together information and displays it in an easy to remember way. The Infographics Index lists links to all the infographics so you can add them to your Pinterest account.

AWS official Study Guide

Amazon Study Guide for the AWS Machine Learning Speciality exam
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AWS Certified Machine Learning Study Guide: Specialty (MLS-C01) Exam

This study guide provides the domain-by-domain specific knowledge you need to build, train, tune, and deploy machine learning models with the AWS Cloud. The online resources that accompany this Study Guide include practice exams and assessments, electronic flashcards, and supplementary online resources. (Visit Amazon)

Other resources

This article describes free questions and answers available on the internet: Free questions for the AWS Machine Learning exam

Study articles

A photograph of a fruit stall in a market with a woman buying fruit. Items in the image have a tag label next to them with the fruit or object name. This symbolizes how the SageMaker image classification algorithm works.
Modeling (Domain 3)

Image Classification Algorithm

The SageMaker Image Classification algorithm can apply multiple labels to an image depending on what objects are identified. Objects are either identified, or not, there are no probability scores. Attributes Problem attribute Description Data types and format Image Learning paradigm or domain Image Processing, Supervised Problem type Image and multi-label classification Use case examples Label/tag…

Amazon Study Guide for the AWS Machine Learning Speciality exam
Reviews

Amazon Study Guide review – AWS Certified Machine Learning Specialty

This Amazon Study Guide review is a review of the official Amazon study guide to accompany the exam. The study guide provides the domain-by-domain specific knowledge you need to build, train, tune, and deploy machine learning models with the AWS Cloud. The online resources that accompany this Study Guide include practice exams and assessments, electronic…

a canary in a carge to symbolize a Canary Deployment
ML implementation and Operation (Domain 4)

Canary deployment, Blue/Green deployment and A/B testing compared

Overview Canary deployment, Blue/Green deployment and A/B testing are methods to control risk. SageMaker Endpoints support these methods. Canary deployment A Canary release is a very risk averse deployment strategy. It involves directing a small proportion of the live traffic to the new production variant and checking that everything works as expected. The proportion of…

Credits