Examtopics

AWS Certified AI Practitioner

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Topic 1 Question 33
Which AWS service or feature can help an AI development team quickly deploy and consume a foundation model (FM) within the team's VPC?
- Amazon Personalize
- Amazon SageMaker JumpStart
- PartyRock, an Amazon Bedrock Playground
- Amazon SageMaker endpoints
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コメント(17)
- 正解だと思う選択肢: D
  .. AWS FEATURE can help .. and CONSUME a foundation model (FM) within the team's VPC?
  
  👍 2
  fed64852024/11/12
- 正解だと思う選択肢: B
  B. Amazon SageMaker JumpStart
  
  Amazon SageMaker JumpStart provides a collection of pre-trained models, including foundation models, that can be easily deployed and customized within a team's VPC. This allows for secure and efficient access to these powerful models without exposing them to the public internet
  
  👍 2
  eesa2024/11/27
- 正解だと思う選択肢: B
  It could be B or D as question says Service or Feature. Why D got eliminated? - Even though it says Service or Feature, I think that is just because SageMaker itself is an umbrella for many services and features. Like SageMaker studio itself has many features. SageMaker endpoint is not a feature per say, but the deployment environment for models.
  
  👍 2
  0c2d8402024/11/28
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