Practice Test 1 | AWS Certified Solutions Architect Associate | SAA-C03 | Dumps | Mock Test
An application allows a manufacturing site to upload files. Each uploaded 2500 MB file is processed to extract metadata, and this process takes a few seconds per file. The frequency at which the uploading happens is unpredictable. For instance, there may be no upload for hours, followed by several files being uploaded concurrently.
Which architecture will address this workload in the most cost-efficient manner?
A. Use a Kinesis Data Delivery Stream to store the file. Use Lambda for processing.
B. Use an SQS queue to store the file to be accessed by a fleet of EC2 Instances.
C. Store the file in an EBS volume, which can then be accessed by another EC2 Instance for processing.
D. Store the file in an S3 bucket. Use Amazon S3 event notification to invoke a Lambda function for file processing.
Explanation:
Answer – D
You can first create a Lambda function with the code to process the file.
Then, you can use an Event Notification from the S3 bucket to invoke the Lambda function whenever a file is uploaded.
Option A is incorrect as Kinesis is used to collect, process, and analyze real-time data.
Option B is incorrect as SQS cannot store a message that is 3GB. The maximum payload supported by SQS is 2GB.
To manage large Amazon Simple Queue Service (Amazon SQS) messages, you can use Amazon Simple Storage Service (Amazon S3) and the Amazon SQS Extended Client Library for Java. This is especially useful for storing and consuming messages up to 2 GB.
Option C is incorrect as EBS is a service to provide block-level storage. S3 is more suitable in this scenario.
Note: The total volume of data and the number of objects you can store are unlimited. Individual Amazon S3 objects can range in size from a minimum of 0 bytes to a maximum of 5 terabytes. The largest object that can be uploaded in a single PUT is 5 gigabytes.
For more information on Amazon S3 event notification, please visit the following URL:
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