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The AWS Machine Learning Certification attests to your mastery of developing, altering, training, and deploying Machine Learning (ML) models on AWS. It helps companies locate and develop employees who have the fundamental abilities required to carry out cloud activities.
| Format of Exam | Multiple Choice Questions, Drag and Drop, Multiple Answers, Scenario-based |
| Exam fee: | USD 300$ |
| Exam language: | English, Korean, Japanese, Simplified Chinese |
| Exam Time Duration | 180 minutes |
| Total Questions: | 65 questions |
| Passing score | 750/1000 Or 75% |
AWS CLOUD machine learning advancements and workspaces are created, designed, and delivered by someone with two years of extensive expertise and careful observation.
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.
2.1 Sanitize and prepare data for modeling.
2.2 Perform feature engineering.
2.3 Analyze and visualize data for machine learning.
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.
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.
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