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Amazon MLS-C01 Exam Syllabus

Amazon MLS-C01 Exam

AWS Certified Machine Learning - Specialty

Total Questions: 281

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Amazon MLS-C01 Exam Overview :

Exam Name AWS Certified Machine Learning - Specialty
Exam Code MLS-C01
Official Information https://d1.awsstatic.com/training-and-certification/docs-ml/AWS%20Certified%20Machine%20Learning%20-%20Specialty_Exam%20Guide%20(1).pdf
See Expected Questions Amazon MLS-C01 Expected Questions in Actual Exam
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Amazon MLS-C01 Exam Topics :

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.

Updates in the Amazon MLS-C01 Exam Syllabus:

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