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Exam Outline

AWS Certified Machine Learning Engineer - Associate

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Exam Subjects
1
Topics
252
Scoped Questions
6,630
Domain Weight Gap
0%
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  • AWS Certified Machine Learning Engineer - Associate 252 topics
    • Data preparation for ML 28% 3 subtopics
      • Ingest and store data 10 subtopics
      • Transform data and perform feature engineering 9 subtopics
      • Ensure data integrity and prepare data for modeling 9 subtopics
    • ML model development 26% 3 subtopics
      • Choose a modeling approach 9 subtopics
      • Train and refine models 17 subtopics
      • Analyze model performance 11 subtopics
    • Deployment and orchestration of ML workflows 22% 3 subtopics
      • Select deployment infrastructure based on existing architecture and requirements 13 subtopics
      • Create and script infrastructure based on existing architecture and requirements 11 subtopics
      • Use automated orchestration tools to set up continuous integration and continuous delivery (CI/CD) pipelines 12 subtopics
    • ML solution monitoring, maintenance, and security 24% 3 subtopics
      • Monitor model inference 7 subtopics
      • Monitor and optimize infrastructure and costs 16 subtopics
      • Secure AWS resources 9 subtopics
    • In-scope AWS services and features 14 subtopics
      • Analytics 12 subtopics
      • Application Integration 5 subtopics
      • Cloud Financial Management 3 subtopics
      • Compute 4 subtopics
      • Containers 3 subtopics
      • Database 5 subtopics
      • Developer Tools 6 subtopics
      • Machine Learning 22 subtopics
      • Management and Governance 12 subtopics
      • Media 1 subtopics
      • Migration and Transfer 1 subtopics
      • Networking and Content Delivery 4 subtopics
      • Security, Identity, and Compliance 4 subtopics
      • Storage 6 subtopics
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