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AWS Certified Machine Learning Engineer - Associate — Information & Free Practice

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AWS Certified Machine Learning Engineer - Associate

Provider
Pearson VUE
Format
English beta; multiple choice and multiple response; test center or online proctored
Exam questions
Total questions: 85; The total includes the scored and unscored questions.
Time limit
170 minutes (beta)
Exam fee
75 USD (beta)
Examination outline
  • Data Preparation for ML and AI (28%)
    • Collect and store data.
    • Perform data transformation, feature engineering, and pre-processing.
    • Validate data quality and manage bias.
  • ML Model and Foundation Model (FM) Development (24%)
    • Choose appropriate modeling approaches for ML and AI solutions.
    • Train, fine-tune, and customize models for ML and AI solutions.
    • Analyze and evaluate the performance of ML and AI systems.
  • Deployment and Orchestration of ML and AI Workflows (24%)
    • Manage deployment infrastructure for ML and AI model types.
    • Provision and configure resources for ML and AI workloads based on existing architecture and requirements.
    • Implement automated orchestration and continuous integration and continuous delivery (CI/CD) pipelines for MLOps and AI workloads.
  • Operating, Monitoring, and Securing ML and AI Solutions (24%)
    • Monitor ML and AI model inference and performance.
    • Optimize and manage ML and AI infrastructure costs and performance.
    • Secure ML and AI workloads and model endpoints.
Examination sources

Related license preparation

This examination may be required or accepted as an alternative, depending on the license and application pathway.