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The AWS Certified Machine Learning - Specialty (MLS-C01) examination is intended for individuals who perform a development or data science role. This exam validates an examinee's ability to build, train, tune, and deploy machine learning (ML) models using the AWS Cloud.
Candidate must have 1-2 years of hands-on experience developing, architecting, or running ML/deep learning workloads on the AWS Cloud, along with:
- The ability to follow model-training best practices
- Experience performing basic hyperparameter optimization
- Experience with ML and deep learning frameworks
- The ability to follow deployment and operational best practices
- The ability to express the intuition behind basic ML algorithms
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Read the AWS Certified Machine Learning Specialty Exam formate below
- Format: Multiple choices, multiple answers
- Length of Examination: 170 minutes
- Language: English
- Passing score: 750
- Cost: 300$
AWS Certified Machine Learning – Specialty is a standard exam for candidates who want to excel in the development field and data science and verify their competence by earning certification. This test, coded MLS-C01, helps the individuals to measure their knowledge of the design, deployment, implementation, and maintenance of machine learning solutions.
This exam allows candidates to validate their skills related to choosing the right AWS services for Machine learning implementation and resolving business problems. Also, they prove their ability to create reliable, cost effective, and secure ML solutions.
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