A space exploration company receives telemetry data from multiple satellites. Small packets of data are received through Amazon API Gateway and are placed directly into an Amazon Simple Queue Service (Amazon SQS) standard queue. A custom application is subscribed to the queue and transforms the data into a standard format. Because of inconsistencies in the data that the satellites produce, the application is occasionally unable to transform the data. In these cases, the messages remain in the SQS queue. A DevOps engineer must develop a solution that retains the failed messages and makes them available to scientists for review and future processing. Which solution will meet these requirements?
Select one answer.
Marked answer: C
Community Discussion
Written by other learners. Comments can disagree with the marked answer — check the official documentation when in doubt.
Chose C3
Create an SQS dead-letter queue. Modify the existing queue by including a re-drive policy that sets the Maximum Receives setting to 1 and sets the dead-letter queue ARN to the ARN of the newly created queue. Instruct the scientists to use the dead-letter queue to review the data that is not valid. Reprocess this data at a later time.
1
Answer is A. Lambda function is required for automated fixing of the invalid message data and hence A is the right choice here.
1
This is not a good approach because it requires unifying the validation logic of the custom application and Lambda function, requires updating both the custom application and Lambda when data specifications change, and requires that the timing of those updates be the same from the SQS perspective, making the deployment process more complex and devops cost expensive. BTW, failed messages are reviewed by scientists, and there is no requirement that they be automatically fix by the program.
Keyboard:←→previous / next·A–Echoose·Entercheck, then next
