The 311 office wants a conversational chatbot that answers common city FAQ intents through voice and text. Which AWS service is commonly identified for building those conversational interfaces?
Select an answer to reveal the explanation.
Short Explanation
FAQ chatbots that understand intents are Lex's neighborhood. You get conversational interfaces for voice and text without inventing your own NLU stack. Lex is the identify-level answer when the city wants a chatbot, not a storage lock or a certificate tree.
Full Explanation
The 311 office that wants a conversational chatbot answering common city FAQ intents through voice and text should identify Amazon Lex. Lex is commonly associated with building conversational interfaces that understand intents and fulfill dialogs for chat and voice experiences. Municipal FAQ bots—trash schedules, permit status basics, office hours—are a classic Lex identify-level use case without requiring the city to invent its own full natural-language understanding stack.
Amazon Macie discovers sensitive data in S3; it is not a chatbot builder. AWS CloudFormation StackSets deploy infrastructure across accounts/Regions; they are not dialog engines. Amazon S3 Object Lock applies WORM retention to objects; it does not converse with residents. Those services solve security, IaC, and compliance storage problems—not conversational FAQ interfaces.
Exam caveat: Lex (conversation/intents) versus Polly (text-to-speech) versus Transcribe (speech-to-text) versus Comprehend (NLP on text) is a frequent AI service-matching cluster. Match the verb in the stem: chat/intents → Lex; speak text → Polly; listen/transcribe → Transcribe.
Operational check for 311: define intents and sample utterances that match real resident questions, integrate fulfillment to backend APIs or knowledge sources carefully, test voice and text channels, add escalation paths to human agents for complex cases, monitor misunderstanding rates, and keep answers aligned with published city policy so the bot does not invent fees or deadlines.