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A company runs a video processing application.

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A company runs a video processing application. Users upload videos directly to an Amazon S3 bucket. The S3 bucket generates S3 Event Notifications to invoke AWS Lambda functions that process the videos.

The Lambda functions take 5–10 minutes to process each video. During peak hours, when multiple videos are uploaded simultaneously, some Lambda functions experience timeout errors and fail to complete processing. The company needs a scalable solution to solve the timeout issues.

Which solution will meet these requirements?

A.

Deploy an Amazon API Gateway REST API that has an extended timeout limit of 10 minutes. Modify the application to call the REST API. Integrate the REST API with the Lambda functions.

B.

Configure Amazon S3 to directly invoke AWS Batch with AWS Fargate to bypass event notifications and process the videos synchronously.

C.

Configure S3 Event Notifications to send messages to an Amazon SQS queue. Configure the Lambda functions to use reserved concurrency. Subscribe the Lambda functions to the SQS queue.

D.

Use an Amazon ECS Fargate task to continuously monitor Amazon S3 and process the videos sequentially.

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