AWS Certified Solutions Architect – Professional — Question 23

You have a periodic image analysis application that gets some files in input, analyzes them and tor each file writes some data in output to a ten file the number of files in input per day is high and concentrated in a few hours of the day.
Currently you have a server on EC2 with a large EBS volume that hosts the input data and the results. It takes almost 20 hours per day to complete the process.
What services could be used to reduce the elaboration time and improve the availability of the solution?

Answer options

• A. S3 to store I/O files. SQS to distribute elaboration commands to a group of hosts working in parallel. Auto scaling to dynamically size the group of hosts depending on the length of the SQS queue
• B. EBS with Provisioned IOPS (PIOPS) to store I/O files. SNS to distribute elaboration commands to a group of hosts working in parallel Auto Scaling to dynamically size the group of hosts depending on the number of SNS notifications
• C. S3 to store I/O files, SNS to distribute evaporation commands to a group of hosts working in parallel. Auto scaling to dynamically size the group of hosts depending on the number of SNS notifications
• D. EBS with Provisioned IOPS (PIOPS) to store I/O files SQS to distribute elaboration commands to a group of hosts working in parallel Auto Scaling to dynamically size the group ot hosts depending on the length of the SQS queue.

Correct answer: A

Explanation

Option A is correct because using S3 for storage allows for better scalability and durability, while SQS helps in distributing tasks efficiently among multiple hosts, enabling parallel processing. The other options either use SNS, which is not suited for task distribution in this scenario, or rely on EBS with Provisioned IOPS, which may not effectively scale for high input file processing like S3 and SQS can.