AWS Certified Cloud Practitioner

Explanation

Amazon Lambda is the correct service to integrate with Amazon Lex for executing custom business logic during chatbot conversations.

Key Reasons:

1. AWS Lambda Integration: Amazon Lex has native integration with AWS Lambda functions, which allows you to run custom code in response to user inputs.

2. Business Logic Execution: Lambda functions can:

   • Validate user input data

   • Check inventory levels in databases

   • Perform calculations or data transformations

   • Integrate with other AWS services

   • Execute conditional logic based on conversation context

3. Event-Driven Architecture: When a user interacts with the Lex chatbot, Lex can trigger Lambda functions to process the input before returning a response.

4. Serverless Benefits: Lambda provides serverless compute, meaning you don't need to manage servers and only pay for the compute time you consume.

Why Other Options Are Incorrect:

• A. Amazon Aurora: This is a relational database service, not designed for executing custom business logic in chatbot conversations.

• C. Amazon OpenSearch: This is a search and analytics service, useful for search operations but not for executing custom business logic during conversations.

• D. Amazon SNS: This is a messaging service for sending notifications, not for executing custom code logic.

Best Practice:

When building chatbots with Amazon Lex, Lambda functions are commonly used for:

• Input validation and sanitization

• Database queries (DynamoDB, RDS, etc.)

• External API calls

• Complex decision-making logic

• State management across conversation turns