You use Amazon CloudWatch as your primary monitoring system for your web application. After a recent software
deployment, your users are getting Intermittent 500 Internal Server Errors when using the web application. You want to
create a CloudWatch alarm, and notify an on-call engineer when these occur. How can you accomplish this using AWS
services? (Choose three.)

You have enabled Elastic Load Balancing HTTP health checking. After looking at the AWS Management Console, you
see that all instances are passing health checks, but your customers are reporting that your site is not responding. What
is the cause?

When an Auto Scaling group is running in Amazon Elastic Compute Cloud (EC2), your application rapidly scales up and
down in response to load within a 10-minute window; however, after the load peaks, you begin to see problems in your
configuration management system where previously terminated Amazon EC2 resources are still showing as active. What
would be a reliable and efficient way to handle the cleanup of Amazon EC2 resources within your configuration
management system? (Choose two.)

You have an application running on an Amazon EC2 instance and you are using IAM roles to securely access AWS
Service APIs. How can you configure your application running on that instance to retrieve the API keys for use with the
AWS SDKs?

You have been tasked with deploying a scalable distributed system using AWS OpsWorks. Your distributed system is
required to scale on demand. As it is distributed, each node must hold a configuration file that includes the hostnames of
the other instances within the layer. How should you configure AWS OpsWorks to manage scaling this application
dynamically?

You have a large number of web servers in an Auto Scaling group behind a load balancer. On an hourly basis, you want
to filter and process the logs to collect data on unique visitors, and then put that data in a durable data store in order to
run reports. Web servers in the Auto Scaling group are constantly launching and terminating based on your scaling
policies, but you do not want to lose any of the log data from these servers during a stop/termination initiated by a user
or by Auto Scaling. What two approaches will meet these requirements? (Choose two.)

Your company develops a variety of web applications using many platforms and programming languages with different
application dependencies. Each application must be developed and deployed quickly and be highly evadable to satisfy
your business requirements. Which of the following methods should you use to deploy these applications rapidly?

Your application uses CloudFormation to orchestrate your application’s resources. During your testing phase before the
application went live, your Amazon RDS instance type was changed and caused the instance to be re-created, resulting
In the loss of test data. How should you prevent this from occurring in the future?

You’ve been tasked with implementing an automated data backup solution for your application servers that run on
Amazon EC2 with Amazon EBS volumes. You want to use a distributed data store for your backups to avoid single points
of failure and to increase the durability of the data. Daily backups should be retained for 30 days so that you can restore
data within an hour. How can you implement this through a script that a scheduling daemon runs daily on the application
servers?

You work for a startup that has developed a new photo-sharing application for mobile devices. Over recent months your
application has increased in popularity; this has resulted in a decrease in the performance of the application clue to the
increased load. Your application has a two-tier architecture that is composed of an Auto Scaling PHP application tier and
a MySQL RDS instance initially deployed with AWS Cloud Formation. Your Auto Scaling group has a min value of 4 and
a max value of 8. The desired capacity is now at 8 because of the high CPU utilization of the instances. After some

analysis, you are confident that the performance issues stem from a constraint in CPU capacity, although memory
utilization remains low. You therefore decide to move from the general-purpose M3 instances to the compute-optimized
C3 instances. How would you deploy this change while minimizing any interruption to your end users?