Amazon MLS-C01 Exam Topics
Amazon MLS-C01 Exam Overview :
| Exam Name: | AWS Certified Machine Learning - Specialty |
| Exam Code: | MLS-C01 |
| Certifications: | Amazon Specialty, Amazon AWS Certified Machine Learning Certifications |
| Actual Exam Duration: | 180 minutes |
| Expected no. of Questions in Actual Exam: | 65 |
| Exam Registration Price: | 300 USD |
| See Expected Questions: | Amazon MLS-C01 Expected Questions in Actual Exam |
Amazon MLS-C01 Exam Objectives :
| Section | Weight | Objectives |
|---|---|---|
| Domain 1: Data Engineering | 20% | 1.1 Create data repositories for machine learning. 1.2 Identify and implement a data-ingestion solution. 1.3 Identify and implement a data-transformation solution. |
| Domain 2:Exploratory Data Analysis | 24% | 2.1 Sanitize and prepare data for modeling. 2.2 Perform feature engineering. 2.3 Analyze and visualize data for machine learning. |
| Domain 3: Modeling | 36% | 3.1 Frame business problems as machine learning problems. 3.2 Select the appropriate model(s) for a given machine learning problem. 3.3 Train machine learning models. 3.4 Perform hyperparameter optimization.3.5Evaluate machine learning models. |
| Domain 4: Machine Learning Implementation andOperations | 20% | 4.1 Build machine learning solutions for performance, availability, scalability, resiliency, and fault tolerance. 4.2 Recommend and implement the appropriate machine learning services and features for a given problem. 4.3 Apply basic AWS security practices to machine learning solutions. 4.4 Deploy and operationalize machine learning solutions. |
| Official Information | https://d1.awsstatic.com/training-and-certification/docs-ml/AWS%20Certified%20Machine%20Learning%20-%20Specialty_Exam%20Guide%20(1).pdf |
Updates in the Amazon MLS-C01 Exam Topics:
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