Question 9
Domain 1: Fundamentals of AI and MLWhat is the primary benefit of using Amazon SageMaker JumpStart?
Correct answer: B
Explanation
Amazon SageMaker JumpStart is designed to give fast access to ready-made assets: the source says it provides “foundation models,” which means users can start from “pre-trained models and solutions” instead of building from scratch. That reduces setup time and lets teams adapt existing models for their use case more quickly.
Why each option is right or wrong
A. To reduce inference costs
Inference cost reduction is a pricing optimization concern, not JumpStart’s primary purpose.
B. To access pre-trained models and solutions
Amazon SageMaker JumpStart is the SageMaker feature specifically called out for foundation models, so the exam expects recognition that it gives direct access to ready-made model assets rather than requiring you to train or assemble everything yourself. In AWS documentation, JumpStart provides pre-built solutions and pre-trained foundation models that can be deployed and adapted from the SageMaker Studio experience, which is why it is the fastest path for starting a GenAI project.
C. To automatically label data
Automatic labeling is handled by SageMaker Ground Truth or Ground Truth Plus.
D. To monitor model performance
Model performance monitoring is a separate MLOps capability, not JumpStart’s core function.