SysOps Administrator - Associate
Labs 6H 10M 78 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 SysOps Administrator - Associate Exam. Visit AWS Certification to learn more about this exam and find more resources to prepare.
ObjectivesThis quest is designed to help you get hands-on practice with several key services which are addressed in the AWS Certified SysOps Administrator – Associate exam blueprint. Practice fundamental and advanced concepts for working with AWS IAM, Amazon EC2, Amazon EBS, Amazon RDS, Amazon VPC, Auto Scaling, AWS CLI, and AWS CloudFormation
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 provides you with a basic overview of launching, resizing, managing, and monitoring an Amazon EC2 instance. Please DO NOT change the auto assigned region.
In this lab you will use the AWS Management Console to bundle custom Amazon Elastic Block Store (EBS)–backed Amazon Machine Images (AMIs). You will learn how to map additional Amazon EBS and/or ephemeral volumes in your AMI. Lastly you will look at some security best practices to create AMIs that are suitable for public sharing.
This lab introduces the concept of Elastic Load Balancing (ELB). In this lab you will use ELB to load balance a set of web servers in an Availability Zone. You will launch a pair of Amazon EC2 instances, bootstrap them to install web servers and content, and then access the instances independently using Amazon EC2 DNS records. Next, you will set up ELB, add your instances to the ELB, and then access the ELB DNS record to watch your requests load balance between servers. Finally, you will look at ELB metrics in CloudWatch. To successfully complete this lab, you should be familiar with the AWS Management Console.
This lab will show you how to launch a Drupal Open Souce Content Management System (CMS) with Amazon Relational Database (Amazon RDS) for MySQL as the backend database with a multi-Availability Zone (AZ) deployment.
This lab leads you through the steps to perform basic audits of core AWS resources. You will use the AWS Management Console to understand how to audit the use of multiple AWS services, Amazon EC2, Amazon VPC, Amazon IAM, Amazon Security Groups, AWS CloudTrail and AWS CloudWatch. This lab will help you understand how you can extend your existing auditing objectives related to organizational Governance, Asset Configuration, Logical Access Controls, Operating Systems, Databases and Applications security configurations within AWS. The skills learned will help provide visibility; testability and automated audit evidence gather capabilities.
This lab demonstrates how to access and manage AWS services in three ways: through the AWS Management Console, the AWS Command Line Interface (CLI), and the AWS Software Development Kit (SDK). You will use one or more of these three options to access Amazon S3, Amazon EBS, Amazon EC2 and Amazon CloudWatch.
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 demonstrates how to build an Amazon Virtual Private Cloud (VPC) which contains private and public subnets, routing tables, and a NAT server to allow private subnets to access the Internet.
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.