AWS Certified Machine Learning Engineer Associate (MLA-C01) Exam Guide
The **AWS ML Engineer Associate** certification focuses on the operational aspect of AI and ML (MLOps). It validates your skills to deploy, monitor, and scale models on AWS SageMaker.
Which SageMaker component manages the full ML lifecycle via automation?
Answer : SageMaker Pipelines.
Pipelines provide CI/CD specifically for ML workflows.
What is 'Blue/Green Deployment' in SageMaker?
Answer : Creating a new environment (Green) alongside the old one (Blue).
Allows safe testing and instant rollbacks.
Which service detects data or performance drifts?
Answer : Amazon SageMaker Model Monitor.
Continuously monitors model quality in production.
What is the 'SageMaker Model Registry' used for?
Answer : Cataloging and versioning production models.
Enables tracking and approval workflows for models.
How does SageMaker Neo optimize models?
Answer : By compiling them for specific target hardware.
Makes models run faster on edge or cloud instances.
Related Certifications