AIF-C01 Question 89
Select 3A large e-commerce company wants to build a generative AI-powered chatbot to answer customer queries in natural language. The team has limited expertise in managing infrastructure and training large language models. Which AWS services should they use to efficiently develop and deploy this application?
- A
Amazon SageMaker JumpStart
- B
Amazon Bedrock
- C
Amazon EC2
- D
PartyRock, an Amazon Bedrock Playground
- E
Amazon Q
Show answer and explanation
Correct answers: A, B, D
Explanation
To efficiently build a generative AI-powered chatbot with minimal infrastructure management, the team should leverage Amazon SageMaker JumpStart for pre-trained models and solutions, Amazon Bedrock for accessing foundation models without infrastructure overhead, and PartyRock for experimenting with generative AI models in a sandbox environment. Amazon EC2 is not specialized for generative AI, and Amazon Q is not a real service.
- A. Correct.
Amazon SageMaker JumpStart is a curated set of pre-trained models and solutions, making it an excellent choice for quickly starting with AI applications like chatbots.
- B. Correct.
Amazon Bedrock allows users to access and integrate foundation models from various providers without managing any infrastructure or training models themselves, making it ideal for generative AI use cases.
- C. Incorrect.
Amazon EC2 is a general-purpose compute service and does not provide specialized tools or models for building generative AI applications.
- D. Correct.
PartyRock, an Amazon Bedrock Playground, provides a hands-on environment to experiment with generative AI models available in Amazon Bedrock, which is helpful for prototyping solutions like chatbots.
- E. Incorrect.
Amazon Q is a fictional service and does not exist, so it is not a valid choice.