AWS Certified Machine Learning - Specialty (MLS-C01)
The AWS Certified Machine Learning - Specialty (MLS-C01) exam is intended for individuals who perform an artificial intelligence and machine learning (AI/ML) development or data science role. The exam validates a candidate's ability to design, build, deploy, optimize, train, tune, and maintain ML solutions for given business problems by using the AWS Cloud.
Topics
Introduction
The AWS Certified Machine Learning - Specialty (MLS-C01) exam is intended for individuals who perform an artificial intelligence and machine learning (AI/ML) development or data science role. The exam validates a candidate's ability to design, build, deploy, optimize, train, tune, and maintain ML solutions for given business problems by using the AWS Cloud.
The exam also validates a candidate's ability to complete the following tasks:
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.
Target Candidate Description
The target candidate should have 2 or more years of experience developing, architecting, and running ML or deep learning workloads in the AWS Cloud.
The target candidate should have the following AWS knowledge:
The ability to express the intuition behind basic ML algorithms
Experience performing basic hyperparameter optimization
Experience with ML and deep learning frameworks
The ability to follow model-training best practices
The ability to follow deployment best practices
The ability to follow operational best practices
The following list contains knowledge that the target candidate is not expected to have. This list is non-exhaustive. Knowledge in the following areas is out of scope for the exam:
Extensive or complex algorithm development
Extensive hyperparameter optimization
Complex mathematical proofs and computations
Advanced networking and network design
Advanced database, security, and DevOps concepts
DevOps-related tasks for Amazon EMR
Exam Content
There are two types of questions on the exam:
Multiple choice: Has one correct response and three incorrect responses (distractors)
Multiple response: Has two or more correct responses out of five or more response options
Select one or more responses that best complete the statement or answer the question. Distractors, or incorrect answers, are response options that a candidate with incomplete knowledge or skill might choose. Distractors are generally plausible responses that match the content area.
Unanswered questions are scored as incorrect; there is no penalty for guessing. The exam includes 50 questions that affect your score.
The exam includes 15 unscored questions that do not affect your score. AWS collects information about performance on these unscored questions to evaluate these questions for future use as scored questions. These unscored questions are not identified on the exam.
The AWS Certified Machine Learning - Specialty (MLS-C01) exam has a pass or fail designation. The exam is scored against a minimum standard established by AWS professionals who follow certification industry best practices and guidelines.
Your results for the exam are reported as a scaled score of 100–1,000. The minimum passing score is 750. Your score shows how you performed on the exam as a whole and whether you passed. Scaled scoring models help equate scores across multiple exam forms that might have slightly different difficulty levels.
Content Domains
For detailed information about each domain, see the following sections:
AWS Services for the Exam
The AWS Certified Machine Learning - Specialty exam covers specific AWS services that are relevant to machine learning workloads. Understanding which services are in scope and which are out of scope can help you focus your preparation efforts.
For detailed information about the AWS services covered in the exam, see the following sections:
