CLF-C02 Practice Question 18: Generative AI Service
AWS Certified Cloud Practitioner (CLF-C02) · Test 2 · question 8 of 10
A software company wants to add a generative AI assistant that drafts replies to customer emails. It wants to experiment with pre-trained foundation models from several AI providers, does not want to train a model of its own, and does not want to manage any ML infrastructure. Which AWS service is the best fit?
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Answer:
Amazon Bedrock is a fully managed service that provides access to high-performing foundation models from leading AI companies (including Amazon, Anthropic, and other providers) for building and scaling generative AI applications. You call the models through Bedrock's APIs, can switch between models from different providers, and never provision or manage the underlying infrastructure.
Option A, SageMaker AI, is for building, training, and deploying your own machine learning models; it can host foundation models too, but it puts you in charge of far more of the ML workflow than the stem allows. Option B, Amazon Lex, builds conversational chatbots around intents you define; it is not a way to choose among foundation models from multiple providers to generate free-form text. Option D, Amazon Comprehend, is a natural language processing service that extracts insights such as sentiment, entities, and key phrases from text; it analyzes text rather than generating new text.
Reference: What is Amazon Bedrock?