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AWS Certified Machine Learning Specialty Exam topics
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- Domain 3: Modeling 36%
- Domain 2: Exploratory Data Analysis 24%
- Domain 4: Machine Learning Implementation and Operations 20%
- Domain 1: Data Engineering 20%
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AWS MLS-C01 Exam Certification Details:
| Passing Score | 750 / 1000 |
| Exam Code | MLS-C01 |
| Exam Name | AWS Certified Machine Learning - Specialty (Machine Learning Specialty) |
| Exam Price | $300 USD |
| Sample Questions | AWS MLS-C01 Sample Questions |
| Schedule Exam | PEARSON VUE |
| Number of Questions | 65 |
| Recommended Training / Books | Practical Data Science with Amazon SageMaker The Machine Learning Pipeline on AWS Deep Learning on AWS |
| Duration | 180 minutes |
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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Getting the Results
The minimum passing score for this test is 750 marks. The result will be reported on a scale of 100-1000. Note that there might be some unscored items in the exam that are not identified but don't affect your score. Also, always keep in mind that you don't need to succeed in each section to get a pass status and obtain the certification — only a total amount of points matters. The report is only needed to show individuals their performance in each domain and help them identify what are their weak and strong areas of Machine Learning.
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