AWS Machine Learning Specialty (MLS-C01)

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AWS machine learning specialty Exam

Machine learning has become the trend for IT enthusiasts. AWS Machine Learning specialty exam is designed to handle Amazon Web Services product that allows a developer to discover patterns in end-user data through algorithms, construct mathematical models based on these patterns and then create and implement predictive applications. Every organization wants its most important asset – workforce to be always updated in the domain of technology. And if you’re working with the IT company then keeping yourself updated on the technological side is necessary for saving your position and reputation. The certifications also show you dedication towards your work and your organization. Keeping yourself updated makes you feel more confident and also helps you to stand out in the crowd.

AWS Machine Learning Certification was accepted as most difficult certification among all other certifications offered by amazon. These kind of IT certifications have been challenging to crack and requires proper knowledge of the subject. Also, merely getting the certificate is not enough. You have to develop a complete understanding of the subject to know its application in reality. All this can be achieved if you have right set of resources and a proper schedule or your strategy. So, if you are preparing to ace this exam, you are at right destination as we provide you all the necessary details with our AWS Machine Learning Tutorials

What is Amazon machine learning specialty exam?

what is the exam about?

The AWS Certified Machine Learning – Specialty (MLS-C01) examination is intended for individuals who perform a development or data science role. This exam validates an examinee’s ability to build, train, tune, and deploy machine learning (ML) models using the AWS Cloud.

It evaluates an examinee’s ability to design, implement, deploy, and maintain ML solutions for given business problems. It will validate the candidate’s ability to:

  • Select and justify the appropriate ML approach for a given business problem.
  • Identify appropriate AWS services to implement ML solutions.
  • Design and implement scalable, cost-optimized, reliable, and secure ML solutions.

The exam will test you on the following major domains and the weightage of each domain is given along.

  • Domain 1: Data Engineering – 20%
  • Domain 2: Exploratory Data Analysis – 24%
  • Domain 3: Modeling – 36%
  • Domain 4: Machine Learning Implementation and Operations – 20%

AWS Machine Learning Specialty Interview Questions

Practice with AWS Machine Learning Specialty Interview Questions and clear your interview successfully with Confidence.

AWS Machine Learning Specialty Interview Questions

Exam overview

The AWS Machine Learning Specialist Certification exam consists of 65 scenario-based questions in order to evaluate a candidate’s ability to solve different business problems. This is a specialty exam and duration for the exam is 170 minutes.  The AWS Machine Learning Certification Cost is $300 although the prices may vary from place to place. You can schedule the exam at Pearson VUE or PSI. The type of questions asked are multiple choice questions and multiple response questions. AWS machine learning specialty exam is measured on a scale of 1 – 1000 and passing score is 750 marks. AWS machine learning specialty exam is available in English, Japanese, Korean, and Simplified Chinese.

Exam Details

Name of the examAWS machine learning specialty
Exam codeMLS-C01
Exam typeSpecialty
Exam duration170 minutes
Exam cost$300
FormatMultiple choice questions and multiple response questions
Passing score750 marks
Languages availableEnglish, Japanese, Korean, and Simplified Chinese

AWS Machine Learning Certification Prerequisites

Amazon recommends that a candidate appearing for the AWS machine learning specialty exam shall have following knowledge and experience:

  • Firstly, 1-2 years of experience developing, architecting, or running ML/deep learning workloads on the AWS Cloud.
  • Subsequently, the ability to express the intuition behind basic ML algorithms.
  • Also, Experience performing basic hyperparameter optimization.
  • Furthermore, Experience with ML and deep learning frameworks.
  • Also, the ability to follow model-training best practices.
  • Finally, the ability to follow deployment and operational best practices.

Result policy

Upon completing your exam, you will receive a pass or fail notification on the testing screen. Most of Amazon exams use a scale-scoring method. You will receive an email confirming your exam completion. Your detailed exam results will be available within five business days of completing your exam.

Exam Retake Policy

The candidates who do not pass an exam must wait 14 days before they are eligible to retake the exam. There is no limit on exam attempts until the candidate has passed. For each exam attempt, the full registration price must be paid i.e. $300 in the case of AWS machine learning specialty exam.

How to register for the AWS Machine Learning Specialty Exam?

registration process

To register for an exam, sign in to and click Certification in the top navigation. Next, click the AWS Certification Account button, followed by Schedule New Exam. Find the exam you wish to take and click either the Schedule at PSI or Schedule at Pearson VUE button. You will then be redirected to the test delivery provider’s scheduling page, where you will complete your exam registration.

Path for AWS Machine Learning Professionals

AWS has designed Machine Learning path so that Professionals can examine their skills and experience based on developing, tuning, training and deploying Machine learning models using services of AWS cloud.

For Specialty Level Machine Learning path in AWS have two paths,

Machine Learning Path for Data Scientist

This path is for individuals who are skilled in statistics, mathematics and analysis and want to become an expert in Machine learning in their organization. In this you will learn about the frameworks and analysis tools which are used for improving workplace.

ML path

AWS Machine Learning Path for Developer

Machine Learning Developer path is for software developers and builders. This will help you learn how Artificial Intelligence and Machine learning together can help you get better partner with Data Scientist to innovating with Machine learning technologies.

ML path

Other exam policies

Before you sit for the exam, make sure that you have all the information related to exam policies and terms and conditions of the exam by visiting official site. Do not miss out on anything important before sitting for the AWS Machine Learning Specialty Certificate exam.

To know more, visit: FAQs for AWS machine learning specialty exam

Syllabus outline

The Amazon AWS Machine Learning Certification exam will test you on the basis of following domains. The compositions of the domains are also fixed. Let us have a look at the AWS Machine Learning Certification Course Outline

AWS Machine Learning Specialty Exam Course outline

Domain 1: Data Engineering

Domain 2: Exploratory Data Analysis

Domain 3: Modeling

Firstly, frame business problems as machine learning problems. (AWS Documentation: Resources from AWS: Formulating the Problem, Resources from Amazon: Solving Business Problems with Amazon ML)

Domain 4: Machine Learning Implementation and Operations

  • Also, apply basic AWS security practices to machine learning solutions.
  • Lastly, deploy and operationalize machine learning solutions.

2 ways to deploy your model:

a. Amazon SageMaker hosting services (to set up an endpoint to get predictions) (AWS Documentation: Deploy a Model on Amazon SageMaker Hosting Services)

b. Amazon SageMaker batch transform (to get predictions on the entire dataset) (AWS Documentation: Overview: Deploying a model with Amazon SageMaker batch transform, Deploy the Model with Batch Transform, Troubleshoot Amazon SageMaker Model Deployments)

Preparatory Guide for AWS Machine Learning Specialty Exam

AWS Machine Learning Specialty Preparations are quite challenging one and requires a lot of dedication and hard work combined with right set of resources to ace the exam. There are numerous resources but we need to figure out the ones which are beneficial for us. The resources through which we can gain more in less time. This will help in increasing the time that will be available for practice and revisions. Let us look some handful resources that will help you in passing the exam with flying colors.

preparatory guide

Resource 1: The Official learning path by Amazon

The official site of amazon recommends the hands-on experience along with the online training and sample papers in order to ace the exam. Always make sure to visit the official site to gather details about every detail of the exam. The official site provides knowledge about technical aspects about the exam and about the latest updates of the exam. There are many official resources that are made available the amazon for the exam. Amazon is also providing free webinars to help spread knowledge about the exam. in addition, amazon provides various classroom sessions and expert-led courses as listed below:

machine learning path
Recommended Progression
Branching content areas
Optional training

For more training options, you an visit Training Library by Amazon for machine learning.

Resource 2: Online training programs

There are many AWS Machine Learning Certification Training programs which are made available by the educational sites. You can find the training programs that are best suitable to you according to the syllabus and availability of time. There are online classes as well as instructor-led classes which offers interactive way of learning. You can clear your doubts without any hesitation and take the test series along with the courses from the same site.

Resource 3: Books

Books are the most valued resources for all time. You can refer to many books for AWS machine learning specialty exam.  You can choose any book that covers the aspects of the syllabus and has the language according to your ease. There are many books available as:

  • Mastering Machine Learning on AWS: Advanced machine learning in Python using SageMaker, Apache Spark, and TensorFlow
  • Machine Learning with Aws
  • Effective Amazon Machine Learning
  • Learning Amazon Web Services (AWS): A Hands-On Guide to the Fundamentals of AWS Cloud | First Edition | By Pearson
  • Pragmatic AI an Introduction to Cloud Based Machine Learning

Also, you can enhance your learning with AWS Machine Learning Documentation and AWS Machine Learning White Papers.

Resource 4: Join study groups and discussions

You can join many study groups for improving your preparations and pooling different resources. Discussions help you test your knowledge. Try to form the groups with the people who are more interactive as this will help you in getting answers quickly. This will help to instill a competitive spirit in you and increase your performance.

Resource 5: Practice papers and test series

AWS Machine Learning Practice Exam is the only way out to pass the exam with a good score. The more you practice, the more your concepts will be clear. Always practice sample papers and take test series as much as you can. This will help to find your loopholes and will help to identify your weak areas. You will find the parts that you need to work more on and the parts that are fully prepared from the exam point of view. This is the most important part of preparation. Many reliable educational sites offer you sample papers and guarantee 100% success. Try a free practice test now!

Upgrade your skills and get ready to qualify AWS Machine Learning Specialty Exam with latest practice tests and expert learning resources. Start Preparing Now!