A medical company is running an application in the AWS Cloud. The application simulates the effect of medical drugs in development.
The application consists of two parts configuration and simulation The configuration part runs in AWS Fargate containers in an Amazon Elastic Container Service (Amazon ECS) cluster. The simulation part runs on large, compute optimized Amazon EC2 instances Simulations can restart if they are interrupted The configuration part runs 24 hours a day with a steady load. The simulation part runs only for a few hours each night with a variable load. The company stores simulation results in Amazon S3, and researchers use the results for 30 days. The company must store simulations for 10 years and must be able to retrieve the simulations within 5 hours Which solution meets these requirements MOST cost-effectively?

A solutions architect works for a government agency that has strict disaster recovery requirements All Amazon Elastic Block Store (Amazon EBS) snapshots are required to be saved in at least two additional AWS Regions. The agency also is required to maintain the lowest possible operational overhead.
Which solution meets these requirements?

A company processes environmental dat
a. The company has set up sensors to provide a continuous stream of data from different areas in a city. The data is available in JSON format.
The company wants to use an AWS solution to send the data to a database that does not require fixed schemas for storage. The data must be sent in real time.
Which solution will meet these requirements?

A company wants to use Amazon S3 to back up its on-premises file storage solution. The company s on-premises file storage solution supports NFS and the company wants its new solution to support NFS The company wants to archive the backup Files after 5 days If the company needs archived files for disaster recovery, the company is willing to wait a few days for the retrieval of those Files.
Which solution meets these requirements MOST cost-effectively?

A company that tracks medical devices in hospitals wants to migrate its existing storage solution to the AWS Cloud. The company equips all of its devices with sensors that collect location and usage information. This sensor data is sent in unpredictable patterns with large spikes. The data is stored in a MySQL database running on premises at each hospital. The company wants the cloud storage solution to scale with usage.
The company's analytics team uses the sensor data to calculate usage by device type and hospital. The team needs to keep analysis tools running locally while fetching data from the cloud. The team also needs to use existing Java application and SQL queries with as few changes as possible.
How should a solutions architect meet these requirements while ensuring the sensor data is secure?