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A company needs to optimize the infrastructure for an application that uploads data to Amazon...

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A company needs to optimize the infrastructure for an application that uploads data to Amazon S3. The uploads average 64 KB in size. When the data is uploaded, Amazon S3 sends an event to Amazon EventBridge. EventBridge then invokes an Amazon ECS application task.

The ECS task processes the data and stores the results in an Amazon DynamoDB table. Processing takes an average of 15 minutes. The company must keep the S3 data for 5 years and must keep the DynamoDB data for 15 days.

The application is gaining more users and is handling millions of S3 uploads every hour.

Which set of changes will provide the MOST cost-effective solution for the application?

A.

Replace the ECS task with an AWS Lambda function for processing. Create S3 Lifecycle rules to move the S3 objects to S3 Intelligent-Tiering after 1 day and to expire the objects after 5 years. Configure DynamoDB Standard-Infrequent Access for the DynamoDB table.

B.

Replace the S3 bucket with Amazon Managed Streaming for Apache Kafka (Amazon MSK) to receive the data. Configure tiered storage for data that is older than 1 day. Configure EventBridge to read messages from Amazon MSK in batches of 1,000 messages. Replace the ECS task with an AWS Lambda function for processing. Configure a TTL of 15 days on the DynamoDB table.

C.

Create an Amazon Data Firehose stream to receive the data. Configure buffering to deliver messages every minute to Amazon S3 in gzip format. Purchase a Compute Savings Plan based on usage recommendations. Create S3 Lifecycle rules to move the S3 objects to S3 Glacier Deep Archive after 1 day and to expire the objects after 5 years. Configure a TTL of 15 days on the DynamoDB table.

D.

Purchase a Compute Savings Plan based on usage recommendations. Create S3 Lifecycle rules to move the S3 objects to S3 Glacier Deep Archive after 1 day and to expire the objects after 5 years. Configure DynamoDB Standard-Infrequent Access for the DynamoDB table.

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