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Question 878 - SAA-C03 discussion

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A media company hosts its video processing workload on AWS. The workload uses Amazon EC2 instances in an Auto Scaling group to handle varying levels of demand. The workload stores the original videos and the processed videos in an Amazon S3 bucket.

The company wants to ensure that the video processing workload is scalable. The company wants to prevent failed processing attempts because of resource constraints. The architecture must be able to handle sudden spikes in video uploads without impacting the processing capability.

Which solution will meet these requirements with the LEAST overhead?

A.

Migrate the workload from Amazon EC2 instances to AWS Lambda functions. Configure an Amazon S3 event notification to invoke the Lambda functions when a new video is uploaded. Configure the Lambda functions to process videos directly and to save processed videos back to the S3 bucket.

Answers
A.

Migrate the workload from Amazon EC2 instances to AWS Lambda functions. Configure an Amazon S3 event notification to invoke the Lambda functions when a new video is uploaded. Configure the Lambda functions to process videos directly and to save processed videos back to the S3 bucket.

B.

Migrate the workload from Amazon EC2 instances to AWS Lambda functions. Use Amazon S3 to invoke an Amazon Simple Notification Service (Amazon SNS) topic when a new video is uploaded. Subscribe the Lambda functions to the SNS topic. Configure the Lambda functions to process the videos asynchronously and to save processed videos back to the S3 bucket.

Answers
B.

Migrate the workload from Amazon EC2 instances to AWS Lambda functions. Use Amazon S3 to invoke an Amazon Simple Notification Service (Amazon SNS) topic when a new video is uploaded. Subscribe the Lambda functions to the SNS topic. Configure the Lambda functions to process the videos asynchronously and to save processed videos back to the S3 bucket.

C.

Configure an Amazon S3 event notification to send a message to an Amazon Simple Queue Service (Amazon SQS) queue when a new video is uploaded. Configure the existing Auto Scaling group to poll the SQS queue, process the videos, and save processed videos back to the S3 bucket.

Answers
C.

Configure an Amazon S3 event notification to send a message to an Amazon Simple Queue Service (Amazon SQS) queue when a new video is uploaded. Configure the existing Auto Scaling group to poll the SQS queue, process the videos, and save processed videos back to the S3 bucket.

D.

Configure an Amazon S3 upload trigger to invoke an AWS Step Functions state machine when a new video is uploaded. Configure the state machine to orchestrate the video processing workflow by placing a job message in the Amazon SQS queue. Configure the job message to invoke the EC2 instances to process the videos. Save processed videos back to the S3 bucket.

Answers
D.

Configure an Amazon S3 upload trigger to invoke an AWS Step Functions state machine when a new video is uploaded. Configure the state machine to orchestrate the video processing workflow by placing a job message in the Amazon SQS queue. Configure the job message to invoke the EC2 instances to process the videos. Save processed videos back to the S3 bucket.

Suggested answer: C

Explanation:

This solution addresses the scalability needs of the workload while preventing failed processing attempts due to resource constraints.

Amazon S3 event notifications can be used to trigger a message to an SQS queue whenever a new video is uploaded.

The existing Auto Scaling group of EC2 instances can poll the SQS queue, ensuring that the EC2 instances only process videos when there is a job in the queue.

SQS decouples the video upload and processing steps, allowing the system to handle sudden spikes in video uploads without overloading EC2 instances.

The use of Auto Scaling ensures that the EC2 instances can scale in or out based on the demand, maintaining cost efficiency while avoiding processing failures due to insufficient resources.

AWS

Reference:

S3 Event Notifications details how to configure notifications for S3 events.

Amazon SQS is a fully managed message queuing service that decouples components of the system.

Auto Scaling EC2 explains how to manage automatic scaling of EC2 instances based on demand.

Why the other options are incorrect:

A . AWS Lambda functions: While Lambda can handle some workloads, video processing is often resource-intensive and long-running, making EC2 a more suitable solution.

B . Using SNS with Lambda: Similar to A, Lambda is not ideal for large-scale video processing due to its time and memory limitations.

D . AWS Step Functions: While a valid orchestration solution, this introduces more complexity and overhead compared to the simpler SQS-based solution.

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asked 27/10/2024
Jaime Ramirez
28 questions
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