AWS Machine Learning Specialty
AWS Machine Learning Specialty
AWS Machine Learning Specialty Certification (MLS-C01)
AWS Certified Machine Learning - Specialty certification is intended for individuals who perform a development or data science role. It validates a candidate's ability to design, implement, deploy, and maintain machine learning (ML) solutions for given business problems. This exam validates an examinee’s ability to build, train, tune, and deploy machine learning (ML) models using the AWS Cloud.
Who should take the AWS Machine learning Specialty Exam?
Candidate planning to take the exam must have one to two years of hands-on experience developing, architecting, or running ML/deep learning workloads on the AWS Cloud, together with the ability to express the intuition behind basic ML algorithms, experience performing basic hyperparameter optimization, experience with ML and deep learning frameworks, ability to follow model-training best practices and ability to follow deployment and operational best practices
AWS Machine Learning Specialty covers the following topics -
- Domain 1: Data Engineering (20%)
- Domain 2: Exploratory Data Analysis (24%)
- Domain 3: Modeling (36%)
- Domain 4: Machine Learning Implementation and Operations (20%)
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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|
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