ExamPark
Course menuAIF-C01

Exams / AIF-C01 / AWS generative AI services / Question 3

AIF-C01 practice question: AWS generative AI services (3 of 5)

Fundamentals of Generative AI A free question from our original AIF-C01 practice exam. Try it, then open the answer to see why each option is right or wrong.

Last verified against current AWS documentation ·How we write our questions

A healthcare analytics firm wants to run an open-weight foundation model inside its own AWS account.

It must choose the instance type, control the endpoint configuration, and fine-tune the model on its own data.

Which option BEST fits these needs?

Choose one answer.

  1. A. SageMaker JumpStart, deployed to a SageMaker AI endpoint you configure
  2. B. Amazon Bedrock on-demand invocation of the same open-weight model family
  3. C. Amazon Comprehend, a managed service with pre-trained entity recognition
  4. D. Amazon Rekognition Custom Labels, trained on the firm's own labeled images
Show the answer and explanation

Answer: A

  • A. Right: Correct. JumpStart offers publicly available open-weight models that you deploy to SageMaker AI endpoints. You choose the instance type and settings, and some models can be fine-tuned on your own data. Learn more: Available foundation models in SageMaker JumpStart (opens in a new tab)
  • B. Wrong: On-demand Bedrock gives simple API access with no servers to manage, so the firm cannot pick the instance type or control the endpoint. It suits teams that do not need that control.
  • C. Wrong: Comprehend is a pre-trained language service for tasks such as entity and sentiment detection. It does not host a foundation model of the firm's choice, so it misses the control and fine-tuning needs.
  • D. Wrong: Rekognition Custom Labels trains models for image tasks. It cannot host or fine-tune an open-weight language model, so it does not meet the firm's needs.

Explanation

There are two broad routes to a foundation model on AWS. Amazon Bedrock is a managed API with no servers to choose. SageMaker JumpStart deploys open-weight models to endpoints you configure, which gives more control over instances and fine-tuning, but the customer runs more of the stack. Check each model's license before use.

Study

Keep practicing

Answer questions with a score at the end, or practice just this topic with the explanation after each one. No sign-up needed.

Take the free AIF-C01 practice examPractice AWS generative AI servicesAll AWS generative AI services questions

Want more on AWS generative AI services? The 5 full-length practice sets have 18 more AWS generative AI services questions, 325 in all, none of them in the free exam. One payment of $14.99, no subscription. See the practice sets