SOA C90.03 Value Pack (Frequently Bought Together)

Cloud Service A is being made available on public Cloud X by Cloud Provider X via the
SaaS delivery model. Cloud Service A is hosted by Physical Server A that also hosts cloud
services being used by different cloud service consumers (and owned by different cloud
service owners).
Cloud Provider X needs to make Cloud Service A available to a new group of cloud service
consumers, but must do so without the increase in usage volume affecting Cloud Service
Consumers A and B.

Which of the following statements does not accurately describe a solution (or a set of
solutions) that addresses this requirement?

• A. Cloud Provider X can scale up Cloud Service A by upgrading the Physical Server A
  hardware to increase the server's processing power. Cloud Provider X can scale out Cloud
  Service A by adding redundant implementations of the service and by using the automated
  scaling listener mechanism.
• B. Cloud Provider X can scale out Cloud Service A by implementing new cloud computing
  mechanisms, such as the virtual server and resource replication mechanisms, which can
  enhance the cloud's elasticity characteristic.
• C. Cloud Provider X can upgrade its infrastructure by increasing its ability to horizontally
  scale IT resources that are used by Cloud Service A.
  Cloud Provider X can upgrade its infrastructure in order to vertically scale IT resources that are used by Cloud Service A.
• D. Cloud Provider X can upgrade its infrastructure to increase the cloud's ubiquitous
  access characteristic. This will enable the cloud to provide distributed failover for IT
  resources across multiple devices in order to increase its ubiquitous resiliency. To achieve
  this, Cloud Provider X will further need to implement the failover system, state
  management database 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 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 Consumers A.
  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.
• B. 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.
• C. None of the above.
• D. 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.

Cloud Service Consumer A accesses Cloud Service A (1) that resides in Cloud X.
a private cloud owned by the same organization acting as Cloud Consumer A.
Cloud Service A processes the message from Cloud Service Consumer A and then sends back a response
with the requested data (2). Next, Cloud Service Consumer A sends a message containing
some of this data to Cloud Service B (3), which resides in public Cloud Y that is owned by
Cloud Provider Y.
After processing the message, Cloud Service B sends back a response
with additional data to Cloud Service Consumer A (4). Finally, Cloud Service Consumer A
writes the data it collected from Cloud Services A and B to Database A (5).

Recently, Cloud Service Consumer A has been required to access Cloud Services A and B
at a significantly higher rate, sometimes over 1,000 times within a given workday. This
increased usage has not affected Cloud Service B's performance. Cloud Service A,
however, has been generating runtime exceptions and responses to Cloud Service
Consumer A have become increasingly slow and unreliable. It is determined that this
decline in performance is due to infrastructure limitations within private Cloud X's
environment. Instead of investing in new infrastructure for Cloud X, it is decided to explore
the feasibility of moving Cloud Service A to Cloud Y instead.
Which of the following statements describe valid financial considerations that can be taken
into account for assessing the feasibility of this move?

• A. Moving Cloud Service A to Cloud Y will require that Database A also be moved to Cloud
  Y due to the need for Cloud Service A and Database A to share a common virtual server
  within the same organizational boundary, as required by the cloud-based security group.
  The move of Database A will increase the integration testing effort and. as a result, will also
  increase the overall integration costs.
• B. Public Cloud Y charges for the use of its IT resources. Moving Cloud Service A to Cloud
  Y can therefore result in new on-going costs. Although Cloud Service A may be able to
  share some of the existing IT resources used by Cloud Service B, it will likely incur new on-
  going costs that need to be budgeted for.
• C. Once Cloud Service A is deployed in Cloud Y, it may form dependencies upon
  proprietary parts of Cloud Y that may limit its mobility should it be decided to move it
  outside of Cloud Y in the future. This can incur further locked-in costs that need to be
  accounted for.
• D. By moving Cloud Service A to Cloud Y, the SaaS delivery model will be established for
  Cloud Service A, thereby allowing the service implementation to build upon existing
  infrastructure from underlying PaaS and laaS delivery models that would have been
  required for Cloud Service B to be implemented in Cloud Y.