A read only news reporting site with a combined web and application tier and a database tier that
receives large and unpredictable traffic demands must be able to respond to these traffic
fluctuations automatically. What AWS services should be used meet these requirements?

Your company has an on-premises, multi-tier PHP web application, which recently experienced
downtime due to a large burst in web traffic due to a company announcement. Over the coming
days, you’re expecting similar announcements to drive similar unpredictable bursts, and are
looking to find ways to quickly improve your infrastructures ability to handle unexpected increases
in traffic. The application currently consists of 2 tiers: A web tier, which consists of a load balancer
and several Linux Apache web servers, as well as a database tier, which hosts a Linux server
hosting a MySQL database.
Which scenario below will provide full site functionality, while helping to improve the availability of
your application in the short timeframe required?

Your team has a tomcat-based java application you need to deploy into development, test and
production environments. After some research, you opt to use Elastic Beanstalk due to its tight
integration with your developer tools and RDS due to its ease of management. Your QA team
lead points out that you need to roll a sanitized set of production data into your environment on a
nightly basis. Similarly, other software teams in your org want access to that same restored data
via their EC2 instances in your VPC. The optimal setup for persistence and security that meets
the above requirements would be the following:

A web-startup runs its very successful social news application on Amazon EC2 with an Elastic
Load Balancer, an Auto-Scaling group of Java/Tomcat application-servers, and DynamoDB as
data store. The main web-application best runs on m2.xlarge instances since it is highly memorybound. Each new deployment requires semi-automated creation and testing of a new AMI for the
application servers, which takes quite a while and is therefore only done once per week.
Recently, a new chat feature has been implemented in node.js and waits to be integrated in the
architecture. First tests show that the new component is CPU bound.
Because the company has some experience with using Chef, they decided to streamline the
deployment process and use AWS OpsWorks as an application life cycle tool to simplify
management of the application and reduce the deployment cycles.
What configuration in AWS OpsWorks is necessary to integrate the new chat module in the most
cost-efficient and flexible way?

Your customer is willing to consolidate their log streams (access logs, application logs, security
logs, etc.) in one single system. Once consolidated, the customer wants to analyze these logs in
real time based on heuristics. From time to time, the customer needs to validate heuristics, which
requires going back to data samples extracted from the last 12 hours.
What is the best approach to meet your customer’s requirements?

If I write the below command, what does it do?
ec2-run ami-e3a5408a -n 20 -g appserver