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Category: AWS-SAA

Exam AWS-SAA: AWS Certified Solutions Architect – Associate

Which AWS storage and database architecture meets the requirements of the application?

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 backup architecture will meet these 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?

How can you reduce the load on your on-premises database resources in the most cost-effective way?

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?

what is the best approach for storing data to DynamoDB and S3?

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?

What is the problem and a valid solution?

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 lOPs 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?

Which setup win meet the requirements?

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?


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