Which AWS service is the MOST suitable for building a chatbot or interactive voice response (IVR) that interacts by voice or text while understanding the intent of the conversation?

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Select an answer
CorrectB

Explanation

Question Overview

A question asking which AI service builds a conversational bot.

Requirements to satisfy
  • 1「a chatbot or interactive voice response」A conversational interface = Lex
  • 2「the intent of the conversation」Intent recognition = Lex
  • 3「interacts」Building a dialog flow
Per-option explanation
AIncorrect

Amazon Kendra

Amazon Kendra is an intelligent search service that ingests and indexes documents scattered across the company (S3, SharePoint, databases, and so on) through connectors and interprets the intent of a user's natural-language question with machine learning to extract and return the most relevant passages or answers. Unlike traditional search that only matches keywords, it ranks relevance using context.

However, this is a search mechanism, not a way to build a chatbot or IVR that carries on a conversation by voice or text. Understanding conversational intent and composing responses is handled by Amazon Lex, so this is incorrect.

BCorrect

Amazon Lex

This is correct. Amazon Lex is an AI service for building voice and text conversational interfaces (chatbots and IVR). It recognizes intent from utterances and collects slots (the required information) to drive the conversation. It is used for call center automation and similar.

CIncorrect

Amazon Polly

Amazon Polly is a text-to-speech (speech synthesis) service.

It is not a service for understanding conversational intent and building a bot, so it is incorrect.

DIncorrect

Amazon S3

Amazon S3 is object storage.

It is not an AI service for building a conversational bot, so it is incorrect.

Key Takeaway

"Chatbot," "conversational intent," and "IVR" mean Amazon Lex. Document search is Kendra, and speech synthesis is Polly. It is worth remembering that it uses the same conversational engine as Alexa.

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