A company has an application deployed using Amazon ECS with data stored in an Amazon DynamoDB table. The company wants the application to fail over to another Region in a disaster recovery scenario. The application must also efficiently recover from any accidental data loss events. The RPO for the application is 1 hour and the RTO is 2 hours. Which highly available solution should a DevOps engineer recommend?
A) Change the configuration of the existing DynamoDB table. Enable this as a global table and specify the second Region that will be used. Enable DynamoDB point-in-time recovery.
B) Enable DynamoDB Streams for the table and create an AWS Lambda function to write the stream data to an S3 bucket in the second Region. Schedule a job for every 2 hours to use AWS Data Pipeline to restore the database to the failover Region.
C) Export the DynamoDB table every 2 hours using AWS Data Pipeline to an Amazon S3 bucket in the second Region. Use Data Pipeline in the second Region to restore the export from S3 into the second DynamoDB table.
D) Use AWS DMS to replicate the data every hour. Set the original DynamoDB table as the source and the new DynamoDB table as the target.

Question

A company has an application deployed using Amazon ECS with data stored in an Amazon DynamoDB table. The company wants the application to fail over to another Region in a disaster recovery scenario. The application must also efficiently recover from any accidental data loss events. The RPO for the application is 1 hour and the RTO is 2 hours. Which highly available solution should a DevOps engineer recommend?
A) Change the configuration of the existing DynamoDB table. Enable this as a global table and specify the second Region that will be used. Enable DynamoDB point-in-time recovery.
B) Enable DynamoDB Streams for the table and create an AWS Lambda function to write the stream data to an S3 bucket in the second Region. Schedule a job for every 2 hours to use AWS Data Pipeline to restore the database to the failover Region.
C) Export the DynamoDB table every 2 hours using AWS Data Pipeline to an Amazon S3 bucket in the second Region. Use Data Pipeline in the second Region to restore the export from S3 into the second DynamoDB table.
D) Use AWS DMS to replicate the data every hour. Set the original DynamoDB table as the source and the new DynamoDB table as the target.

Quizplus · Accepted Answer

The Answer of A company has an application deployed using Amazon ECS with data stored in an Amazon DynamoDB table. The company wants the application to fail over to another Region in a disaster recovery scenario. The application must also efficiently recover from any accidental data loss events. The RPO for the application is 1 hour and the RTO is 2 hours. Which highly available solution should a DevOps engineer recommend?
A) Change the configuration of the existing DynamoDB table. Enable this as a global table and specify the second Region that will be used. Enable DynamoDB point-in-time recovery.
B) Enable DynamoDB Streams for the table and create an AWS Lambda function to write the stream data to an S3 bucket in the second Region. Schedule a job for every 2 hours to use AWS Data Pipeline to restore the database to the failover Region.
C) Export the DynamoDB table every 2 hours using AWS Data Pipeline to an Amazon S3 bucket in the second Region. Use Data Pipeline in the second Region to restore the export from S3 into the second DynamoDB table.
D) Use AWS DMS to replicate the data every hour. Set the original DynamoDB table as the source and the new DynamoDB table as the target.

A Company Has an Application Deployed Using Amazon ECS with Data