AWS Certified AI Practitioner

Explanation:

Amazon Lex chatbots use AWS Lambda functions to handle backend processing when all required slot values are filled and an action needs to be executed. Here's why:

1. Lambda Integration: Amazon Lex is designed to integrate seamlessly with AWS Lambda functions for fulfillment activities. When a user provides all necessary information (slot values), Lex can invoke a Lambda function to process the request.

2. Fulfillment Process: In Lex, fulfillment refers to the process of executing the business logic after all required slots are filled. This typically involves:

   • Validating the collected information
   • Performing database operations
   • Calling external APIs
   • Executing the requested action (like booking an appointment)

3. Why Not Other Options:

   • S3: While S3 can store data, it doesn't execute processing logic
   • SNS: SNS is for messaging and notifications, not for executing business logic
   • EC2: EC2 instances are for running applications, but Lex doesn't directly launch EC2 instances for fulfillment

4. Workflow: The typical workflow is:

   • User provides all required information to Lex
   • Lex validates the slot values
   • Lex invokes the configured Lambda function
   • Lambda function executes the business logic
   • Lambda returns the result to Lex
   • Lex provides the response to the user

This architecture allows for serverless, scalable backend processing that can handle various business requirements without managing infrastructure.