AWS Certified Machine Learning Specialty

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 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.

AWS Certifications are valid for 3 years and after that you need to update your certification.

You need to score 750 out of 1000 to pass the AWS Certified Machine Learning Specialty exam.

In AWS Certified Machine Learning Specialty exam you will get 170 minutes to complete the exam.

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.

• 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

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.

The AWS Certified Machine Learning Specialty exam is a perfect way to start if you want to establish a career or expand your understanding of machine learning on the AWS Cloud. 

Build skills for building a career as an AWS Machine Learning Specialist

• Selecting and justifying a suitable ML approach for a given business problem
• Identifying suitable AWS services for implementing ML solutions

Planning and applying scalable, cost-optimized, reliable, and secure ML solutions

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.

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

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 Language English, Japanese, Korean, & Simplified Chinese
• Validity 3 years

The AWS Machine Learning specialist exam covers Amazon Web Services products that let developers apply algorithms to uncover patterns in end-user data, build mathematical models based on these patterns, and then create and execute predictive applications.

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.

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

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

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

Yes, Skilr gives you option to take free practice test with different and unique questions before purchasing the complete test.

Our team of experts at Skilr keeps updating the latest tips and tricks about the exam on our blog to help you in preparation of exam.

Yes, you have access to the practice set questions which will be available once you have registered for the course.

Skilr 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.

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.