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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
Data Engineering 20%
  • Create data repositories for machine learning.
  • Identify and implement a data-ingestion solution.
  • Identify and implement a data-transformation solution.
Exploratory Data Analysis 24%
  • Sanitize and prepare data for modeling.
  • Perform feature engineering.
  • Analyze and visualize data for machine learning.
Modeling 36%
  • Frame business problems as machine learning problems.
  • Select the appropriate model(s) for a given machine learning problem.
  • Train machine learning models.
  • Perform hyperparameter optimization.
  • Evaluate machine learning models.
Machine Learning Implementation and Operations 20%
  • Build machine learning solutions for performance, availability, scalability, resiliency, and fault tolerance.
  • Recommend and implement the appropriate machine learning services and features for a given problem.
  • Apply basic AWS security practices to machine learning solutions.
  • 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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