Chatbots Development with Amazon Lex - Lambda Introduction

The video tutorial discusses the importance of having a backend for a chatbot, specifically using AWS Lambda. It explains that AWS Lambda allows running code without managing servers, offering a serverless cloud interface. The tutorial highlights Lambda's features, such as automatic scaling, cost efficiency, and optimized performance. It also mentions the AWS free tier for learning and the process of integrating Lambda with Lex.

What is the current limitation of the chatbot as discussed in the video?

• It lacks a user interface.

• It is too slow to respond.

• It cannot process natural language.

• It is not connected to a backend.

What is AWS Lambda primarily used for?

• Managing server infrastructure.

• Storing large datasets.

• Running code without server management.

• Designing user interfaces.

Which of the following is a benefit of using AWS Lambda?

• Free requests under AWS free tier.

• Guaranteed 24/7 support.

• Automatic server maintenance.

• Unlimited free requests.

How does AWS Lambda handle code execution requests?

• It automatically scales to handle requests.

• It processes them sequentially.

• It requires manual scaling.

• It queues them for later execution.

What is a key feature of AWS Lambda regarding cost?

• It charges only for the compute time used.

• It charges based on the number of users.

• It charges based on storage space.

• It charges a flat monthly fee.