Your customer wishes to deploy an enterprise application to AWS which will consist of several web servers,
several application servers and a small (50GB) Oracle database information is stored, both in the database and
the file systems of the various servers. The backup system must support database recovery whole server and
whole disk restores, and individual file restores with a recovery time of no more than two hours. They havechosen to use RDS Oracle as the database Which backup architecture will meet these requirements?

Your company has HQ in Tokyo and branch offices all over the world and is using a logistics software with a
multi-regional deployment on AWS in Japan, Europe and USA. The logistic software has a 3-tier architecture
and currently uses MySQL 5.6 for data persistence. Each region has deployed its own database. In the HQ
region you run an hourly batch process reading data from every region to compute cross-regional reports that
are sent by email to all offices this batch process must be completed as fast as possible to quickly optimize
logistics how do you build the database architecture in order to meet the requirements?

A customer has a 10 GB AWS Direct Connect connection to an AWS region where they have a web application
hosted on Amazon Elastic Computer Cloud (EC2). The application has dependencies on an on-premises
mainframe database that uses a BASE (Basic Available. Sort stale Eventual consistency) rather than an ACID
(Atomicity. Consistency isolation. Durability) consistency model. The application is exhibiting undesirable
behavior because the database is not able to handle the volume of writes. How can you reduce the load on your
on-premises database resources in the most cost- effective way?

Company B is launching a new game app for mobile devices. Users will log into the game using their existing
social media account to streamline data capture. Company B would like to directly save player data and scoring
information from the mobile app to a DynamoDS table named Score Data When a user saves their game the
progress data will be stored to the Game state S3 bucket. What is the best approach for storing data to
DynamoDB and S3?

Your company plans to host a large donation website on Amazon Web Services (AWS). You anticipate a large
and undetermined amount of traffic that will create many database writes. To be certain that you do not drop
any writes to a database hosted on AWS. Which service should you use?

You have launched an EC2 instance with four (4) 500 GB EBS Provisioned IOPS volumes attached. The EC2
Instance is EBS-Optimized and supports 500 Mbps throughput between EC2 and EBS. The two EBS volumes
are configured as a single RAID 0 device, and each Provisioned IOPS volume is provisioned with 4,000 IOPS
(4000 16KB reads or writes) for a total of 16,000 random IOPS on the instance. The EC2 Instance initially
delivers the expected 16,000 IOPS random read and write performance. Sometime later in order to increase
the total random I/O performance of the instance, you add an additional two 500 GB EBS Provisioned IOPS
volumes to the RAID. Each volume is provisioned to 4,000 IOPS like the original four for a total of 24,000 IOPS
on the EC2 instance Monitoring shows that the EC2 instance CPU utilization increased from 50% to 70%, but
the total random IOPS measured at the instance level does not increase at all. What is the problem and a valid
solution?

You have recently joined a startup company building sensors to measure street noise and air quality in urban
areas. The company has been running a pilot deployment of around 100 sensors for 3 months each sensor
uploads 1KB of sensor data every minute to a backend hosted on AWS. During the pilot, you measured a peak
or 10 IOPS on the database, and you stored an average of 3GB of sensor data per month in the database. The
current deployment consists of a load- balanced auto scaled Ingestion layer using EC2 instances and a
PostgreSQL RDS database with 500GB standard storage. The pilot is considered a success and your CEO has
managed to get the attention or some potential investors. The business plan requires a deployment of at least
100K sensors which needs to be supported by the backend. You also need to store sensor data for at least two
years to be able to compare year over year Improvements. To secure funding, you have to make sure that the
platform meets these requirements and leaves room for further scaling. Which setup win meet the
requirements?

Your company is in the process of developing a next generation pet collar that collects biometric information to
assist families with promoting healthy lifestyles for their pets Each collar will push 30kb of biometric data In
JSON format every 2 seconds to a collection platform that will process and analyze the data providing health
trending information back to the pet owners and veterinarians via a web portal Management has tasked you to
architect the collection platform ensuring the following requirements are met. Provide the ability for real-time
analytics of the inbound biometric data Ensure processing of the biometric data is highly durable. Elastic and
parallel The results of the analytic processing should be persisted for data mining Which architecture outlined
below win meet the initial requirements for the collection platform?

You need a persistent and durable storage to trace call activity of an IVR (Interactive Voice Response) system.
Call duration is mostly in the 2-3 minutes timeframe. Each traced call can be either active or terminated. An
external application needs to know each minute the list of currently active calls, which are usually a few calls/
second. Put once per month there is a periodic peak up to 1000 calls/second for a few hours. The system is
open 24/7 and any downtime should be avoided. Historical data is periodically archived to files. Cost saving is a
priority for this project. What database implementation would better fit this scenario, keeping costs as low as
possible?

A web design company currently runs several FTP servers that their 250 customers use to upload and
download large graphic files They wish to move this system to AWS to make it more scalable, but they wish to
maintain customer privacy and Keep costs to a minimum. What AWS architecture would you recommend?