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 will meet the initial requirements for the collection platform?

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?

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 of 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 of 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 will meet the requirements?

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 DynamoDB table named
ScoreData. When a user saves their game, the progress data will be stored to the GameState S3
bucket. What is the best approach for storing data to DynamoDB and S3?

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 US.
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?

You have been asked to design the storage layer for an application. The application requires disk
performance of at least 100,000 IOPS. In addition, the storage layer must be able to survive the
loss of an individual disk, EC2 instance, or Availability Zone without any data loss.
The volume you provide must have a capacity of at least 3 TB.
Which of the following designs will meet these objectives?

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?

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 (Baste Available, Soft
state, 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?

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 four EBS volumes are configured as a single RAID 0 device, and each Provisioned
IOPS volume is provisioned with 4,000 IOPS (4,000 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?

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 filesystems 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 have chosen to use RDS Oracle as the database.
Which backup architecture will meet these requirements?