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.
Answer : SageMaker Pipelines.
Pipelines provide CI/CD specifically for ML workflows.
Answer : Creating a new environment (Green) alongside the old one (Blue).
Allows safe testing and instant rollbacks.
Answer : Amazon SageMaker Model Monitor.
Continuously monitors model quality in production.
Answer : Cataloging and versioning production models.
Enables tracking and approval workflows for models.
Answer : By compiling them for specific target hardware.
Makes models run faster on edge or cloud instances.