Organization A has been expanding and, as a result, is outgrowing the processing capacity of its on-premise Service A implementation. It is determined that this is due to usage thresholds of Service A and complex data processing limitations in Database A. The diagram depicts Organization A's current on-premise environment, where Service Consumers A. B and C attempt to access Service A at the same time. Service Consumer A successfully accesses Service A, which then successfully retrieves the requested data (1). Service Consumer B successfully accesses Service A, but due to the complex data structure, the request for the data times out and fails (2). Finally, Service Consumer C attempts to access Service A, but is rejected because Service A is unable to accept more concurrent requests.

Organization A is required to continue using its on-premise Service A implementation, with the exception of Database A, which does not need to remain on-premise. Database A is dedicated to Service A and is comprised of relational data. Which of the following statements provides a solution that uses cloud-based IT resources to solve the performance limitations of Service A and Database A?

• A. A failover system can be implemented in a hybrid architecture comprised of Organization A's existing on-premiseenvironment and a public cloud environment. The failover system would span both environments so that when Service A is unable to process request messages from Service Consumers A, B or C, the failover system can automatically route messages to a redundant implementation of Service A residing in the public cloud. Similarly, when Database Ais unable to process a data access request from Service the failover system can automatically route this request to a redundant implementation of Database A, also residing in the public cloud.
• B. A cloud bursting solution can be implemented, whereby a redundant copy of Service A is implemented within a public cloud. This cloud-based, redundant implementation of Service A is referred to as Cloud Service A. A copy of Database A is also implemented within the cloud and both the on-premise and cloud-based copies of Database A are redesigned to be non-relational in order to improve data access performance. Service A continues to act as a first point of contact for Service Consumers A, B and An automated scaling listener is deployed so that when Service A's thresholds are met, requests are automatically routed to Cloud Service A.
• C. The state management database and resource replication mechanisms can be implemented to establish redundantimplementations of Service A and Database A in both on-premise and cloud environments. Using resource replication, a cloud-based duplicate of Service A (Cloud Service A) will be established in a public cloud and will remain in synch with Service A via regular replication cycles. Using the resource replication mechanism together with the state management database mechanism allows for Database A to be dynamically replicated in an independent state management database that has redundant implementations in both on-premise and cloud environments. The state management database can be further optimized to support non-relational data to improve data access performance.
• D. None of the above