nerdexam
Amazon

AIF-C01 · Question #64

Your company plans to launch a chatbot to improve customer service using generative AI. Which AWS services and techniques will support this use case?

The correct answer is A. Amazon Bedrock to deploy the chatbot with a pre-trained model. B. Amazon SageMaker JumpStart for fine-tuning the chatbot model. D. Amazon Lex for NLP capabilities. To build a generative AI chatbot on AWS, services like Amazon Bedrock provide access to foundation models, while Amazon SageMaker JumpStart and Amazon Lex offer capabilities for model fine-tuning and natural language understanding respectively.

Submitted by deeparc· Mar 30, 2026

Question

Your company plans to launch a chatbot to improve customer service using generative AI. Which AWS services and techniques will support this use case?

Options

  • AAmazon Bedrock to deploy the chatbot with a pre-trained model.
  • BAmazon SageMaker JumpStart for fine-tuning the chatbot model.
  • CAmazon Rekognition for visual analysis in the chatbot.
  • DAmazon Lex for NLP capabilities.

How the community answered

(26 responses)
  • A
    77% (20)
  • C
    23% (6)

Why each option

To build a generative AI chatbot on AWS, services like Amazon Bedrock provide access to foundation models, while Amazon SageMaker JumpStart and Amazon Lex offer capabilities for model fine-tuning and natural language understanding respectively.

AAmazon Bedrock to deploy the chatbot with a pre-trained model.Correct

Amazon Bedrock provides access to foundation models (FMs) from Amazon and third-party model providers via an API, which can be directly used to power generative AI applications like chatbots.

BAmazon SageMaker JumpStart for fine-tuning the chatbot model.Correct

Amazon SageMaker JumpStart offers a hub with pre-trained models, including FMs, that can be fine-tuned with custom data to adapt them for specific chatbot use cases and improve performance.

CAmazon Rekognition for visual analysis in the chatbot.

Amazon Rekognition is a service for image and video analysis, which is not directly relevant for the core functionality of a text-based generative AI chatbot for customer service.

DAmazon Lex for NLP capabilities.Correct

Amazon Lex is a service for building conversational interfaces (chatbots) using voice and text, providing advanced natural language understanding (NLU) and automatic speech recognition (ASR) capabilities, which are essential for a chatbot.

Concept tested: AWS services for generative AI chatbots

Source: https://aws.amazon.com/bedrock/

Topics

#Generative AI#Chatbot development#Amazon Bedrock#Amazon Lex

Community Discussion

No community discussion yet for this question.

Full AIF-C01 Practice