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When the chatbot gathers all required slot values and is ready to execute an action like "book appointment," how does Lex trigger backend processing?
A
By invoking an AWS Lambda function
B
By sending data to S3
C
By creating an SNS topic
D
By launching an EC2 instance
Explanation:
Amazon Lex triggers backend processing by invoking AWS Lambda functions. Here's how it works:
AWS Lambda Integration: When Lex gathers all required slot values and is ready to fulfill an intent (like "book appointment"), it invokes a Lambda function to process the request.
Functionality: The Lambda function contains the business logic to handle the action, such as making database calls, processing data, or integrating with other services.
Response Handling: The Lambda function returns a response to Lex, which then sends the appropriate message back to the user.
Why other options are incorrect:
B) S3: S3 is for storage, not for triggering backend processing
C) SNS: SNS is for pub/sub messaging, not the primary method for Lex backend processing
D) EC2: EC2 instances are for compute, but Lex doesn't launch instances for backend processing
This Lambda integration allows Lex to execute complex backend operations while maintaining the conversational flow with users.