To be eligible for the AWS Certified Machine Learning - Specialty exam, candidates must have a minimum of one year of experience in developing and deploying machine learning models using AWS services. They should also have a strong understanding of machine learning algorithms and techniques, as well as experience with programming languages such as Python and R. MLS-C01 exam consists of 65 multiple-choice and multiple-response questions, and candidates have 180 minutes to complete it.
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Target Audience
The Amazon MLS-C01 exam is targeted at those individuals who are tasked with performing the data science or development role. It provides that the candidates can design, deploy, implement, and maintain ML or machine learning solutions for given business problems.
Amazon MLS-C01 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Machine Learning Implementation and Operations | 20% | - Deploy and operationalize machine learning solutions
|
| Data Engineering | 20% | - Create data repositories for machine learning
|
| Modeling | 36% | - Build machine learning models
|
| Exploratory Data Analysis | 24% | - Analyze and visualize data for machine learning
|
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