SOA Certified Professional C90-03A Value Pack (Frequently Bought Together)

The cloud service owner of Cloud Service A is evaluating Clouds X, Y and Z to determine which cloud environment can offer the greatest level of reliability. All three clouds are geographically dispersed across three separate time zones. As a result, each cloud experiences usage peaks at different times. Based on the metrics provided, the greater the usage of a cloud, the lower its reliability. When the cloud service owner complains to Cloud Provider A (the owner of all three clouds) that none of the clouds provide an adequate level of reliability, Cloud Provider A suggests a solution that increases resiliency.

Which of the following statements accurately describe how a cloud balancing solution can be implemented to fulfill the resiliency requirements of Cloud Service A?

• A. Cloud Service A is redundantly deployed in advance within Clouds X. Y and Z and is further supplemented with failover system mechanisms and specialized types of automated scaling listener mechanisms.
• B. A type of automated scaling listener that can also be considered a cloud monitor is implemented in Clouds X, Y and Z toestablish a system whereby each cloud can assume controlof cloud service consumer message exchanges. This results in resilient cloud balancing, as opposed to on-demand cloud balancing.
• C. Clouds X, Y and Z are equipped with failover system mechanisms and specialized types of automated scaling listener mechanisms in order to establish cross-cloud resiliency. Cloud Service A is configured so that Clouds X, Y and Z can dynamically generate redundant instances on-demand.
• D. Using a PaaS environment, the cloud service owner can configure a primary Cloud Service A implementation on Cloud X so that when failure conditions occur, message requests from cloud service consumers are automatically routed to a redundant on-premise implementation of Cloud Service A. This requires the implementation of the failover system and resource replication mechanisms.

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

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. Automated scaling listener mechanisms can be implemented in both the on-premise and cloud environments. Using built-in resiliency features, these service agents can be configured to coordinate the routing of messages between the on-premise Service A implementation and a redundant Cloud Service A implementation. This dynamic functionality can avoid service usage thresholds in both Service A and Cloud Service A.
• B. None of the above.
• C. A cloud balancing solution can be implemented within the public cloud, whereby a redundant Cloud Service A implementation is established. Cloud Service A becomes the first point of contact for Service Consumers A, B and C (thereby turning them into Cloud Service ConsumersA. B and C). Upon reaching its usage threshold (which will be higher than the on-premise Service A), Cloud Service A automatically routes usage requests to Service A. The resource replication mechanism is implemented within the cloud to establish a replicated Database A that can further be used to load balance data access requests from Cloud Service A or Service A.
• D. The virtual server and resource replication mechanisms can be implemented to replicate Service A and Database A across both on-premise and cloud environments. This enables on-demand usage in that requests sent by Service Consumers A, B and C will automatically be redirected to the replicated service and/or database. As a result, Service A' s usage thresholds will no longer result in rejected requests and Database A' s processing limitations will no longer result in failed data access attempts.