AWS Serverless Microservices with Patterns and Best Practices - Analyzing Basket Microservices Use Cases for Our E-Comme

The video tutorial covers the design and implementation of basket use cases in an ecommerce application using DynamoDB. It explains the synchronous and asynchronous use cases, focusing on the design of product and basket tables. The tutorial highlights the use of JSON format for storing basket items and the importance of partition keys in DynamoDB. It also demonstrates how to manage and delete tables in the DynamoDB management console.

What are the two main use cases for the basket in the ecommerce service application?

• Adding items and managing user accounts

• Managing inventory and customer support

• Reviewing items and processing payments

• Adding items and checking out

What is the primary key used in the product table design?

• Product name

• Product ID

• Price

• Category

How does DynamoDB differ from traditional RDBMS in terms of table design?

• DynamoDB uses fixed schemas

• DynamoDB does not support JSON format

• DynamoDB is a key-value pair NoSQL database

• DynamoDB requires secondary indexes

What data type is used to store basket items in the basket table?

• Number

• Boolean

• String

• JSON format

What is the primary key for the basket table in the ecommerce application?

• Product ID

• Username

• Basket ID

• Item List

Which data types are used in the basket table to accommodate dynamic attributes?

• List and Map

• String and Number

• Boolean and Binary

• Set and Map

Why is it important to delete unnecessary tables in DynamoDB?

• To enhance data security

• To free up storage space

• To reduce costs and manage resources

• To improve query performance