AWS Serverless Microservices with Patterns and Best Practices - Developing SQS Event Source Mapping Polling Invocation o

The video tutorial covers the development of a microservice for processing orders using AWS services. It begins with an introduction to event source mapping and the use of DynamoDB for order storage. The tutorial then delves into the development of SQS invocation, iterating over records, and handling messages to extract checkout requests. The process of creating orders in DynamoDB is explained, followed by finalizing the development and preparing for end-to-end testing of the serverless e-commerce application.

What is the primary purpose of using event source mapping in AWS microservices?

• To map events to specific AWS regions

• To manage user authentication

• To link event sources to AWS Lambda functions

• To automate the deployment of microservices

Which AWS service is used to pull events in the discussed microservices architecture?

• Amazon SNS

• Amazon SQS

• Amazon RDS

• Amazon EC2

Why is it beneficial to iterate over records even when expecting a single record?

• To simplify the code structure

• To avoid errors in JSON parsing

• To reduce processing time

• To ensure compatibility with future batch size changes

What is the role of the 'detail' object in the order creation process?

• It logs the order processing time

• It contains the checkout basket JSON object

• It manages the database connection

• It stores user authentication details

How is the interaction with DynamoDB achieved in the order creation process?

• Using a direct SQL query

• Through a REST API call

• By using the DynamoDB client and put item command

• Via a third-party library

What is the next step after completing the development of the ordering microservices?

• Refactoring the code for better performance

• Deploying the application to production

• Performing end-to-end testing

• Scaling the application for more users

What is the significance of logging in the SQS invocation method?

• To monitor cloud watch logs

• To track user activity

• To reduce latency

• To enhance security