A company is running a custom-built application that processes records. All the components run on Amazon EC2 instances that run in an Auto Scaling group. Each record's processing is a multistep sequential action that is compute-intensive. Each step is always completed in 5 minutes or less.
A limitation of the current system is that if any steps fail, the application has to reprocess the record from the beginning. The company wants to update the architecture so that the application must reprocess only the failed steps.
What is the MOST operationally efficient solution that meets these requirements?

A. Create a web application to write records to Amazon S3. Use S3 Event Notifications to publish to an Amazon Simple Notification Service (Amazon SNS) topic. Use an EC2 instance to poll Amazon SNS and start processing. Save intermediate results to Amazon S3 to pass on to the next step.

B. Perform the processing steps by using logic in the application. Convert the application code to run in a container. Use AWS Fargate to manage the container instances. Configure the container to invoke itself to pass the state from one step to the next.

C. Create a web application to pass records to an Amazon Kinesis data stream. Decouple the processing by using the Kinesis data stream and AWS Lambda functions.

D. Create a web application to pass records to AWS Step Functions. Decouple the processing into Step Functions tasks and AWS Lambda functions.








 

Suggested Answer: D

Community Answer: D




This question is in DOP-C02 AWS Certified DevOps Engineer – Professional Exam
For getting AWS Certified DevOps Engineer – Professional Certificate


Disclaimers:
The website is not related to, affiliated with, endorsed or authorized by Amazon.
Trademarks, certification & product names are used for reference only and belong to Amazon.
The website does not contain actual questions and answers from Amazon's Certification Exam.