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Amazon MLS-C01 Exam Syllabus

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Before starting your MLS-C01 exam preparation, it is recommended to review the complete Amazon AWS Certified Machine Learning - Specialty exam syllabus and carefully go through the exam objectives listed below. Once you understand the exam structure and objectives, you should practice using our free MLS-C01 questions. We also provide premium MLS-C01 practice test, fully updated according to the latest exam objectives, to help you accurately assess your preparedness for the actual exam.

Amazon
Vendor
MLS-C01
Exam Code
330
Total Questions
4
Total Exam Domains

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MLS-C01 EXAM QUESTIONS

Amazon MLS-C01 Exam Objectives

Section 1: Data Engineering
Weight:
20%
  • Create data repositories for machine learning.
  • Identify and implement a data-ingestion solution.
  • Identify and implement a data-transformation solution.
Section 2: Exploratory Data Analysis
Weight:
24%
  • Sanitize and prepare data for modeling.
  • Perform feature engineering.
  • Analyze and visualize data for machine learning.
Section 3: Modeling
Weight:
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.
Section 4: Machine Learning Implementation and Operations
Weight:
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.
Info
https://d1.awsstatic.com/training-and-certification/docs-ml/AWS%20Certified%20Machine%20Learning%20-%20Specialty_Exam%20Guide%20(1).pdf