AWS Serverless Microservices with Patterns and Best Practices - Developing createBasket Methods for Basket Lambda Micros

This video tutorial covers the implementation of CRUD methods for basket Lambda microservices using the DynamoDB client from the AWS SDK. It follows the official AWS guidelines and demonstrates the development of Get, Put, and Delete commands. The tutorial emphasizes best practices, API references, and the use of the Marshall Utility for JSON object conversion. It provides a detailed walkthrough of creating a basket method, including error handling and the importance of partition keys in DynamoDB.

What is the primary purpose of using CRUD methods in basket Lambda microservices?

• To enhance UI design

• To perform operations on DynamoDB items

• To optimize network traffic

• To manage user authentication

Which AWS resource is primarily used for storing and retrieving data in the discussed microservices?

• Amazon EC2

• Amazon RDS

• Amazon S3

• Amazon DynamoDB

What is the purpose of the Put Item command in DynamoDB?

• To delete an item

• To update an item

• To insert a new item

• To read an item

What is the role of the Marshall utility in the create basket method?

• To handle HTTP requests

• To log errors

• To parse JSON data

• To convert JSON to DynamoDB format

Why is it important to include a username in the request payload?

• To authenticate the user

• To improve request speed

• To enhance data encryption

• To ensure data is stored in the correct partition

What is the consequence of not including the username in the request payload?

• An error will occur

• The data will be encrypted

• The request will be ignored

• The request will be faster

What is the primary key used in the basket table?

• Username

• Basket ID

• User ID

• Email