You are responsible for a legacy web application whose server environment is approaching end
of life.
You would like to migrate this application to AWS as quickly as possible, since the application
environment currently has the following limitations:
– the VM’s single 10GB VMDK is almost full;
– the virtual network Interface still uses the 10Mbps dnver, which
leaves your 100Mbps WAN connection completely underutilized;
– it is currently running on a highly customized, Windows VM within a
VMware environment; ?you do not have the installation media.
This is a mission critical application with an RTO (Recovery Time Objective) of 8 hours, RPO
(Recovery Point Objective) of 1 hour.
How could you best migrate this application to AWS while meeting your business continuity
requirements?

You are running a news website in the eu-west-1 region that updates every 15 minutes.
The website has a world-wide audience. It uses an Auto Scaling group behind an Elastic Load
Balancer and an Amazon RDS database. Static content resides on Amazon S3, and is distributed
through Amazon CloudFront. Your Auto Scaling group is set to trigger a scale up event at 60%
CPU utilization.
You use an Amazon RDS extra large DB instance with 10,000 Provisioned IOPS, its CPU
utilization is around 80%, while freeable memory is in the 2 GB range.
web analytics reports show that the average load time of your web pages is around 1.5 to 2
seconds, but your SEO consultant wants to bring down the average load time to under 0.5
seconds.
How would you Improve page load times for your users? Choose 3 answers

To serve Web traffic for a popular product, your chief financial officer and IT director have
purchased 10 m1.large heavy utilization Reserved Instances (RIs), evenly spread across two
availability zones; Route 53 is used to deliver the traffic to an Elastic Load Balancer (ELB). After
several months, the product grows even more popular and you need additional capacity. As a
result, your company purchases two c3.2xlarge medium utilization RIs.
You register the two c3.2xlarge instances with your ELB and quickly find that the m1.large
instances are at 100% of capacity and the c3.2xlarge instances have significant capacity that’s
unused. Which option is the most cost effective and uses EC2 capacity most effectively?

A company is running a batch analysis every hour on their main transactional DB. running on an
RDS MySQL instance to populate their central Data Warehouse running on Redshift During the
execution of the batch their transactional applications are very slow.
When the batch completes they need to update the top management dashboard with the new
data The dashboard is produced by another system running on-premises that is currently started
when a manually-sent email notifies that an update is required The on-premises system cannot
be modified because is managed by another team.
How would you optimize this scenario to solve performance issues and automate the process as
much as possible?

You are implementing a URL whitelisting system for a company that wants to restrict outbound
HTTP/S connections to specific domains from their EC2-hosted applications.
You deploy a single EC2 instance running proxy software and configure it to accept traffic from all
subnets and EC2 instances in the VPC.
You configure the proxy to only pass through traffic to domains that you define in its whitelist
configuration.
You have a nightly maintenance window of 10 minutes where all instances fetch new software
updates. Each update is about 200MB in size and there are 500 instances in the VPC that
routinely fetch updates. After a few days you notice that some machines are falling to
successfully download some, but not all, of their updates within the maintenance window.
The download URLs used for these updates are correctly listed in the proxy’s whitelist
configuration and you are able to access them manually using a web browser on the instances.
What might be happening? Choose 2 answers

You have a periodic image analysis application that gets some files in input, analyzes them and
for each file writes some data in output to a text file. The number of files in input per day is high
and concentrated in a few hours of the day.
Currently you have a server on EC2 with a large EBS volume that hosts the input data and the
results. It takes almost 20 hours per day to complete the process.
What services could be used to reduce the elaboration time and improve the availability of the
solution?

A large real-estate brokerage is exploring the option of adding a cost-effective location based
alert to their existing mobile application. The application backend infrastructure currently runs on
AWS. Users who opt in to this service will receive alerts on their mobile device regarding realestate offers in proximity to their location. For the alerts to be relevant delivery time needs to be in
the low minute count. The existing mobile app has 5 million users across the US.
Which one of the following architectural suggestions would you make to the customer?

You require the ability to analyze a customer’s clickstream data on a website, so they can do
behavioral analysis. Your customer needs to know what sequence of pages and ads their
customer clicked on. This data will be used in real time to modify the page layouts as customers
dick through the site, to increase stickiness and advertising click-through.
Which option meets the requirements for capturing and analyzing this data?

An AWS customer runs a public blogging website. The site users upload two million blog entries a
month. The average blog entry size is 200 KB. The access rate to blog entries drops to negligible
6 months after publication and users rarely access a blog entry 1 year after publication.
Additionally, blog entries have a high update rate during the first 3 months following publication,
this drops to no updates after 6 months. The customer wants to use CloudFront to improve his
user’s load times.
Which of the following recommendations would you make to the customer?

Your company is getting ready to do a major public announcement of a social media site on
AWS. The website is running on EC2 instances deployed across multiple Availability Zones with
an Multi-AZ RDS MySQL Extra Large DB Instance backend. The site performs a high number of
small reads and writes per second and relies on an eventual consistency model. After
comprehensive tests you discover that there is read contention on RDS MySQL.
Which are the best approaches to meet these requirements? Choose 2 answers