Data Preparation for ML and AI
Build practical confidence in Data Preparation for ML and AI and use practice results to identify specific concepts that need more review.
EXAMNOVIQ
MLA-C02 exam guide for AWS Certified Machine Learning Engineer - Associate (Beta)
Use this MLA-C02 guide to review Data Preparation for ML and AI and ML Model and Foundation Model Development, and additional exam domains, understand the practice format, and organize your preparation around the published skill areas.
About the MLA-C02 certification path
Beta MLA-C02 practice covering data preparation, traditional and foundation model development, workflow deployment, operations, monitoring, and security on AWS.
170 minutes72% practice target100 practice questions
Skills to study
ML Model and Foundation Model Development
Build practical confidence in ML Model and Foundation Model Development and use practice results to identify specific concepts that need more review.
Deployment and Orchestration of ML and AI Workflows
Build practical confidence in Deployment and Orchestration of ML and AI Workflows and use practice results to identify specific concepts that need more review.
Operating, Monitoring, and Securing ML and AI Solutions
Build practical confidence in Operating, Monitoring, and Securing ML and AI Solutions and use practice results to identify specific concepts that need more review.
MLA-C02 preparation workflow
- Use the free MLA-C02 practice test to establish a baseline.
- Review every explanation and group misses by the skill areas shown above.
- Study the official Amazon Web Services objectives and build hands-on experience.
- Repeat mixed practice and track whether weak areas improve.