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A company is developing a social media application.

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A company is developing a social media application. The company anticipates rapid and unpredictable growth in users and data volume. The application needs to handle a continuous high volume of user requests. User requests include long-running processes that store large amounts of user-generated content and user profiles in a relational format. The processes must run in a specific order. The company requires an architecture that can scale resources to meet demand spikes without downtime or performance degradation. The company must ensure that the components of the application can evolve independently without affecting other parts of the system. Which combination of AWS services will meet these requirements?

A.

Deploy the application on Amazon Elastic Container Service (Amazon ECS) with the AWS Fargate launch type. Use Amazon RDS as the database. Use Amazon Simple Queue Service (Amazon SQS) to decouple message processing between components.

B.

Deploy the application on Amazon Elastic Container Service (Amazon ECS) with the AWS Fargate launch type. Use Amazon RDS as the database. Use Amazon Simple Notification Service (Amazon SNS) to decouple message processing between components.

C.

Use Amazon DynamoDB as the database. Use AWS Lambda functions to implement the application. Configure Amazon DynamoDB Streams to invoke the Lambda functions. Use AWS Step Functions to manage workflows between services.

D.

Use an AWS Elastic Beanstalk environment with auto scaling to deploy the application. Use Amazon RDS as the database. Use Amazon Simple Notification Service (Amazon SNS) to decouple message processing between components.

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