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 1O0K 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?

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 o 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 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?

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?

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 onpremises database resources in the most cost-effective way?

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?

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

A 3-tier e-commerce web application is current deployed on-premises and will be migrated to
AWS for greater scalability and elasticity The web server currently shares read-only data
using a network distributed file system The app server tier uses a clustering mechanism for
discovery and shared session state that depends on IP multicast The database tier uses
shared-storage clustering to provide database fall over capability, and uses several read
slaves for scaling Data on all servers and the distributed file system directory is backed up
weekly to off-site tapes
Which AWS storage and database architecture meets the requirements of the application?

Which of the following statements are true about Amazon Route 53 resource records?
Choose 2 answers

What is the minimum time Interval for the data that Amazon CloudWatch receives and
aggregates?