The same week, a municipal greenhouse needs a prompted foundation model in an app, a custom-trained wilt model, and a director dashboard of weekly detections. Which mapping is accurate?
Select an answer to reveal the explanation.
Short Explanation
Think of three shops in one week. Bedrock for the prompted FM, SageMaker AI for the custom wilt model, Quick for the director dashboard. Do not swap those counters.
Full Explanation
Bedrock consumes a prompted foundation model, SageMaker AI trains and hosts a custom model, and Amazon Quick is the director dashboard. Mixing those jobs, or inventing a fourth product, fails the service-to-job map.