AWS Certified Machine Learning Engineer - Associate MLA-C01 — Topic 1 Question 91

Question

A company runs Amazon SageMaker ML models that use accelerated instances. The models require real-time responses. Each model has different scaling requirements. The company must not allow a cold start for the models. Which solution will meet these requirements?

Accepted Answer

Correct answer: C. The correct answer is C. Option C: Create a SageMaker endpoint. Create an inference component for each model. In the inference component settings, specify the newly created endpoint. Create an auto scaling policy for each inference component. Set the p... Auto Scaling adjusts capacity automatically to match demand, improving availability and cost efficiency. Amazon SageMaker builds, trains and deploys machine learning models in a fully managed service. This option meets the real-time / low-latency performance requirement.

AWS Certified Machine Learning Engineer - Associate MLA-C01 — Question 91