A company needs to store data from its healthcare application. The application's data frequently changes. A new regulation requires audit z access at all levels of the stored data. The company hosts the application on an on-premises infrastructure that is running out of storage capacity. A solutions architect must securely migrate the existing data to AWS while satisfying the new regulation. Which solution will meet these requirements?

A. Use AWS DataSync to move the existing data to Amazon S3. Use AWS CloudTrail to log data events.

B. Use AWS Snowcone to move the existing data to Amazon $3. Use AWS CloudTrail to log management events.

C. Use Amazon S3 Transfer Acceleration to move the existing data to Amazon S3. Use AWS CloudTrail to log data events

D. Use AWS Storage Gateway to move the existing data to Amazon S3. Use AWS CloudTrail to log management events.

Data Sync es un servicio de transferencia de archivos, Storage Gateway es para compartir volumenes, digamos que Storage Gateway no está tan especializado en transferencias enteras y no tedeja usar lo del CloudTrail.


A company has a new mobile app. Anywhere in the world, users can see local news on topics they choose. Users also can post photos and videos from inside the app. Users access content often in the first minutes after the content is posted. New content quickly replaces older content, and then the older content disappears. The local nature of the news means that users consume 90% of the content within the AWS Region where it is uploaded.

Which solution will optimize the user experience by providing the LOWEST latency for content uploads?

A. Upload and store content in Amazon S3. Use Amazon CloudFront for the uploads.

B. Upload and store content in Amazon S3. Use S3 Transfer Acceleration for the uploads.

C. Upload content to Amazon EC2 instances in the Region that is closest to the user. Copy the data to Amazon S3.

D. Upload and store content in Amazon S3 in the Region that is closest to the user. Use multiple distributions of Amazon CloudFront.


A company has a multi-tier application deployed on several Amazon EC2 instances in an Auto Scaling group. An Amazon RDS for Oracle instance is the application’s data layer that uses Oracle-specific PL/SQL functions. Traffic to the application has been steadily increasing. This is causing the EC2 instances to become overloaded and the RDS instance to run out of storage. The Auto Scaling group does not have any scaling metrics and defines the minimum healthy instance count only. The company predicts that traffic will continue to increase at a steady but unpredictable rate before levelling off.

What should a solutions architect do to ensure the system can automatically scale for the increased traffic? (Select TWO.)

A. Configure storage Auto Scaling on the RDS for Oracle Instance.

B. Migrate the database to Amazon Aurora to use Auto Scaling storage.

C. Configure an alarm on the RDS for Oracle Instance for low free storage space