Developer - Associate
6 Labs 3h 54m 25 Credits
Achieving AWS Certification requires hands-on experience. This quest helps you get hands-on practice with several key services as you prepare for the AWS Certified Developer - Associate Exam. Visit AWS Certification to learn more about this exam and find more resources to prepare.
This lab shows you how to manage access and permissions to your AWS services using AWS Identity and Access Management (IAM). Practice the steps to add users to groups, manage passwords, log in with IAM-created users, and see the effects of IAM policies on access to specific services.
This lab will give you the basic understanding of AWS Lambda. It will demonstrate the basic steps required to get started to create and deploy a Lambda function in an event-driven environment.
In this lab, you will create a simple FAQ microservice. The microservice will return a JSON object containing a random question and answer pair using an API Gateway endpoint that invokes a Lambda function. Prerequisites: students should take the lab "Introduction to AWS Lambda" before taking this lab.
This lab demonstrates how to start distributing your web content with Amazon CloudFront by taking a simple static website in Amazon S3 and integrating it with Amazon CloudFront to deliver your website content from AWS edge locations. The majority of this lab will focus on creating an Amazon CloudFront distribution with the AWS Management Console, and then adapting the existing web pages to use Amazon CloudFront.
This lab covers how to use AWS CloudFormation to provision a web application with a number of supporting AWS products and services, including Auto Scaling Groups, Amazon EC2 Instances, Elastic Load Balancers, and more. It also covers how to use AWS CloudFormation to manage infrastructure and reconfigure Auto Scaling Groups.
This lab introduces the basics of Auto Scaling, highlighting multiple Auto Scaling use cases and the command-line tools used for Auto Scaling configuration. After completing this lab you will have configured and tested an elastic web farm which automatically scales capacity to accommodate load. In addition you will have explored a steady state use case in which Auto Scaling is used to maintain high availability of critical resources.