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AWS Machine Learning Specialty

AWS Machine Learning Specialty

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AWS Machine Learning Specialty Certification (MLS-C01)


AWS Certified Machine Learning Specialty certification exam checks the knowledge of the candidates in planning, applying, deploying, and maintaining machine learning (ML) solutions. However, this exam is best for professionals in the role of development and data science professionals. Further, it also assesses candidate’s skills for creating, training, tuning, and deploying machine learning (ML) models using the AWS Cloud.


Who should take the AWS Machine learning Specialty Exam?

Candidate planning to take the exam must gain one to two years of applied experience in developing, architecting, or running ML/deep learning workloads on the AWS Cloud, together with the ability in expressing the intuition behind basic ML algorithms, experience in executing basic hyperparameter optimization, ML and deep learning frameworks, ability to follow model-training best practices, deployment, and operational best practices


AWS Machine Learning Specialty Course Structure

  • Module 1: Learn Data Engineering (20%)
  • Module 2: Learn Exploratory Data Analysis (24%)
  • Module 3: Learn Modeling (36%)
  • Module 4: Learn Machine Learning Implementation and Operations (20%)

Validate your skills and become AWS Machine Learning Specialty exam with real time practice test. Try Free test now! 

Exam Format and Information

Exam Name AWS Machine Learning Specialty Certification
Exam Code MLS-C01
Exam Duration 170 Minutes
Exam Format Multiple Choice and Multi-Response Questions
Exam Type Specialty

Number of Questions 65 Questions 

Passing Score  Scoring from 100-1000, with a

minimum passing score of 750

Exam Fee $300
Exam Language English, Japanese, Korean, & Simplified Chinese
Validity 3 years

AWS Machine Learning Specialty FAQs

AWS Certifications are valid for 3 years and after that you need to update your certification.
AWS Machine Learning Specialty Certification examines the ability to implement, design and deploy machine learning solutions for business issues. In this candidate are required to perform data scientist role, on the basis of which they are validated to tune, build and deploy the Machine learning model using AWS cloud.
You need to score 750 out of 1000 to pass the AWS Certified Machine Learning Specialty exam.
AWS Machine Learning Specialty certification requires an understanding in developing and running Machine learning workloads with 1-2 years of experience on AWS cloud. A good knowledge of Machine learning and deep learning framework with ability to express machine learning algorithms.

AWS certification offers candidates training to understand the key tools and concepts of AWS. 

  1. It will help you advance your skills in cloud platform services.
  2. AWS certifications have different levels of certification and passing these will help you to get a good and secure job in the market.
  3. On becoming a certified AWS professional many doors will open for you so you do not need to stick to the same role. There are many opportunities for which you can apply. And this certification requires hard work. If you are focused on AWS then there is nothing that can stop you to become Professional.
For getting certification in machine learning you need to pass AWS Machine Learning Specialty certification. For this certification you need to have 1-2 years of experience in running machine learning workloads on AWS cloud.
Amazon has created rules that if you get failed in AWS certification then you need to wait for 14 days to give the exam again.

The domains which will help in your exam preparation for AWS Certified machine Learning Specialty exam are:

  1. Module 1: Learn Data Engineering (20%)
  2. Module 2: Learn Exploratory Data Analysis (24%)
  3. Module 3: Learn Modeling (36%)
  4. Module 4: Learn Machine Learning Implementation and Operations (20%)

AWS Certified Machine Learning Specialty exam test the ability to implement Machine Learning by choosing the right AWS service. You should be able to design scalable Machine learning solutions with having experience of 1-2 years for running and developing Machine learning workloads on AWS. During preparation,

  1. Getting proficiency in Machine learning frameworks and good knowledge of Machine learning algorithms. Do as many practice questions as possible which will help you know your strengths and weaknesses.
  2. Check for the available exam pattern and create a blueprint, topic-wise. This will help you cover all topics in a sequential manner.
  3. This certification requires advanced skills and knowledge for ML/deep learning which you need to understand and you should also apply for AWS exam discussion, blogs and make yourself updated with every news about the exam concepts.
In AWS Certified Machine Learning Specialty exam you will get 170 minutes to complete the exam.
Amazon Web Service (AWS) provides you option to reschedule your exam 24 hours before the exam appointment. You need to go to your AWS certification account and click on Manage PSI exams, to reschedule or cancel the exam.
This exam will cost you $300 USD with additional taxes included.

AWS Certified Machine Learning Specialty Exam Format

  • Exam Code MLS-C01
  • Exam Duration 170 Minutes
  • Exam Format Multiple Choice and Multi-Response Questions
  • Exam Type Specialty
  • Number of Questions 65 Questions
  • Passing Score  Scoring from 100-1000, with a minimum passing score of 750
  • Exam Fee $300
  • Exam Language English, Japanese, Korean, & Simplified Chinese
  • Validity 3 years

AWS Machine Learning Specialist Exam Format

AWS Machine Learning Specialty Cheat Sheet provides you with the right combination of learning resources and strategy to earn this much-valued credential. Acquire skills 

  • 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

AWS Machine Learning Specialty Cheat Sheet

  • Get basic knowledge of statistics/machine learning
  • Learn about AWS Kinesis family of tools together with AWS Glue
  • Learn security works with AWS S3 and security around using SageMaker
  • Understand bout Amazon SageMaker - ML frameworks pre-installed in containers

  • Take a tour to the Official Site
  • Look at the Exam BluePrint
  • Refer to the course outline
  • Evaluate yourself with Practice Test


Prepare for AWS machine learning speciality exam (MLS-C01)

Learn to design, implement, deploy, and maintain machine learning (ML) solutions for given business problems.

AWS Machine Learning Specialty Exam Study Guide

For documentation, you can refer to the AWS Machine Learning Specialty Exam online tutorial with detailed AWS documentation and learning resources.


AWS Machine Learning Specialty (MLS-C01) Online Tutorial

Yes, you have access to the practice set questions which will be available once you have registered for the course.
Yes, if you order more than 10 products at a time you will get a discount of 50% and to know more about this you can reach our Helpdesk, they will respond.
Yes, TestprepTraining gives you option to take free practice test with different and unique questions before purchasing the complete test.
Our team of experts at Testpreptraining keeps updating the latest tips and tricks about the exam on our blog to help you in preparation of exam.
TestprepTraining provides unique sets of questions that will help you check your skills and knowledge on AWS Cloud. These practice questions will help you increase your knowledge for better preparation of exam.

 

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