AWS Serverless Microservices with Patterns and Best Practices - Creating DynamoDB Database for Basket Microservices with

AWS Serverless Microservices with Patterns and Best Practices - Creating DynamoDB Database for Basket Microservices with

Assessment

Interactive Video

Information Technology (IT), Architecture

University

Hard

Created by

Quizizz Content

FREE Resource

The video tutorial guides viewers through setting up a DynamoDB table for basket microservices using AWS CDK. It covers project setup, class structure, and the implementation of the basket table, emphasizing the open-closed principle. The tutorial also discusses the importance of partition keys and removal policies, and concludes with finalizing and exposing the tables for microservices.

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7 questions

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1.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the primary focus of the initial stage in using AWS CDK for DynamoDB?

Creating infrastructure as code

Developing a mobile application

Creating a user interface

Designing a new programming language

2.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Which AWS CDK documentation is primarily referred to when developing with CDK?

Community Forum

User Guide

API Reference

Developer Blog

3.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What pattern is followed in microservices architecture to ensure each service has its own database?

Centralized Database Pattern

Database Per Service Pattern

Shared Database Pattern

Single Database Pattern

4.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the partition key used for the basket table in the DynamoDB setup?

Email

User ID

Username

Order ID

5.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What removal policy is set for the basket table in the AWS CDK configuration?

Destroy

Backup

Archive

Retain

6.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Which billing mode is used for the basket table in the AWS CDK setup?

Spot

Reserved

On-Demand

Provisioned

7.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the main advantage of using AWS CDK for creating DynamoDB tables?

Automated infrastructure management

Increased hardware costs

Manual configuration

Limited scalability