The AWS Certified Machine Learning Engineer - Associate (MLA-C01) exam validates a candidate’s ability to build, operationalize, deploy, and maintain machine learning (ML) solutions and pipelines by using the AWS Cloud.
The exam also validates a candidate’s ability to complete the following tasks:
• Ingest, transform, validate, and prepare data for ML modeling.
• Select general modeling approaches, train models, tune hyperparameters,
analyze model performance, and manage model versions.
• Choose deployment infrastructure and endpoints, provision compute
resources, and configure auto scaling based on requirements.
• Set up continuous integration and continuous delivery (CI/CD) pipelines to
automate orchestration of ML workflows.
• Monitor models, data, and infrastructure to detect issues.
• Secure ML systems and resources through access controls, compliance features,
and best practices.