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A company wants a customer-support application to answer questions using private company documentation. The company doesn't want to retrain its foundation model whenever the documentation changes.
Which approach is most appropriate?
Correct Answer: A
RAG retrieves relevant information and provides it to the
model as context without requiring continuous model retraining.
An ML engineer needs to train, deploy, and monitor machine learning models on AWS.
Which service is most directly suited to these requirements?
Correct Answer: B
SageMaker AI provides capabilities for developing, training,
deploying, and monitoring ML models.
A
development team wants to build a generative AI application using managed
foundation models without managing the underlying model infrastructure.
Which
service should they consider?
Correct Answer: A
Amazon
Bedrock provides managed access to foundation models for building generative AI
applications.
An AI application needs to perform a multi-step task and decide which tools or external systems to use.
Which
concept best describes this capability?
Correct Answer: B
Agentic AI
systems can interact with tools and external systems and orchestrate multi-step
workflows.
An
organization wants its AI application to retrieve current internal information
before generating an answer.
Which
architecture is most appropriate?
Correct Answer: A
RAG allows
an application to retrieve relevant external information and provide it to the
model during generation.