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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.
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AWS MLS-C01 Exam Certification Details:
| Recommended Training / Books | Practical Data Science with Amazon SageMaker The Machine Learning Pipeline on AWS Deep Learning on AWS |
| Sample Questions | AWS MLS-C01 Sample Questions |
| Exam Price | $300 USD |
| Exam Code | MLS-C01 |
| Passing Score | 750 / 1000 |
| Exam Name | AWS Certified Machine Learning - Specialty (Machine Learning Specialty) |
| Duration | 180 minutes |
| Schedule Exam | PEARSON VUE |
| Number of Questions | 65 |
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What Is Audience for AWS Machine Learning Specialty Certification?
The AWS Certified Machine Learning Specialty certificate is intended for programmers, data scientists, and other candidates passionate about machine learning who want to learn how to use the benefits of artificial intelligence capabilities on the AWS platform. The training process necessary for obtaining this certification helps examinees develop the right skills to build, train, and deploy machine learning models using advanced AWS Cloud services. Candidates can achieve this certificate by obtaining the passing score in MLS-C01 exam. Even though this test doesn't have any mandatory requirements, the vendor recommends that candidates should have previous knowledge of certain topics. A successful applicant is one who has between 1 to 2 years of practical experience in developing, running and architecting ML and deep learning workloads on the AWS Cloud. Also, it would be helpful if the candidate would have prior experience performing basic hyperparameter optimization and know how to follow model-training and operational best practices.
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