Monitor and optimize infrastructure and costs.
4 practice questions under this official exam objective (MLA-C01) — each with the community-verified answer, a full option-by-option explanation and instant feedback.
How to Make SageMaker Endpoint Auto Scaling Most Responsive?
For a SageMaker real-time endpoint that must react quickly to traffic spikes, this page explains why high-resolution InvocationsPerInstance metrics an
How to Deploy a Nightly SageMaker Prediction Model?
A once-nightly, sub-minute prediction with a 3 MB payload is best served by SageMaker Serverless Inference because it scales to zero between runs and
Finding Inefficiently Used ML Compute and EBS Resources with AWS Compute Optimizer Recommendations
A company wants to reduce the cost of containerized ML applications running on EC2 instances, Lambda functions, and an ECS cluster, with EC2 and ECS w
Which Compute Is Most Cost-Effective for Interruptible SageMaker Training?
Interruptible 48–72 hour model training jobs with automated checkpoints are most cost-effectively run on Spot Instances, which offer large discounts a