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Virtual Server A is hosted by Hypervisor A, which resides on Physical Server A.
Virtual Server A hosts Cloud Services A and B.
Virtual Server B is hosted by Hypervisor B on Physical Server B.
Physical Server C is currently not being used.
Cloud Service Consumer A sends a request to Cloud Service A that is intercepted by Pay- Per-Use Monitor A (1), which collects billing-related usage data that is later forwarded to the billing management system (2). Cloud Service A receives and processes the request (3). Cloud Consumer B accesses the usage and administration portal (4) to access data on Cloud Storage Device B.
Pay-Per-Use Monitor B intercepts the data access to collect and forward billing-related usage data to the billing management system (5). Cloud Storage Device B processes the data access request from Cloud Consumer B (6).

Cloud Service Consumer A and Cloud Consumer B belong to Organization A.
Cloud Storage Device B is accessed on a regular basis by Cloud Consumer B.
However, managers at Organization A receive reports from their cloud resource administrator that Cloud Storage Device B is unavailable for longer periods and more frequently than what they expected, based on the SLA availability guarantee they were provided by the cloud provider. This results in wasted time when the cloud resource administrator attempts to upload or access data and then discovers that Cloud Storage Device B is unavailable. The cloud resource administrator requires a means of checking for the availability of Cloud Storage Device B prior to attempting access.
As the workload increases on Physical Server B, Cloud Consumer B begins to receive runtime exceptions and degraded data access performance from Cloud Storage Device B.
It is determined that the cause of the deteriorating performance is a network bottleneck that has formed on Physical Server B due to its bandwidth capacity being reached, primarily because of other cloud consumer organizations also sharing its hosted IT resources.
Organization A receives a monthly billing statement that shows the charges for the total usage of Cloud Service A during that period. However, Organization A requires a more detailed breakdown of the types of usage and their associated costs. For example, Cloud Service Consumer A can issue requests for information by employees within Organization A and on behalf of clients of Organization A.
Organization A requires a breakdown of the usage costs incurred on behalf of clients so that it can bill the clients for this usage accordingly. The cloud provider informs Organization A that it has no existing monitor that can collect and log this detailed usage information and suggests that Organization A customize its own monitor.
Which of the following statements lists the patterns that can be applied to solve these three problems?

• A. Persistent Virtual Network Configuration, Elastic Network Capacity, Load Balanced Virtual Server Instances
• B. None of the above.
• C. Load Balanced Virtual Switches, Elastic Resource Capacity, Automated Administration
• D. Realtime Resource Availability, Elastic Network Capacity, Usage Monitoring

Cloud Service A accesses LUN Aon Cloud Storage Device A when it receives requests to process data from cloud consumers. Cloud Service A is hosted by Virtual Server A.
The usage and administration portal can be used to access and manage the data in Cloud Storage Device B, which is also hosted by Virtual Server A.
Virtual Server A is further hosted by Hypervisor A, which resides on Physical Server A.
Virtual Server B is part of a virtual server cluster hosted by Hypervisor B.
which resides on Physical Server B.
Physical Server C is not in use and does not yet have an operating system installed.
Cloud Service Consumer A sends a request to Cloud Service A (1), which accesses data in LUN Aon Cloud Storage Device A (2). Cloud Consumer B uses the usage and administration portal to upload new data (3). The data is placed in LUN B on Cloud Storage Device B (4).
Cloud Service Consumer A and Cloud Consumer B belong to Organization A, which is leasing Virtual Server A and Virtual Server B from the cloud provider. Organization A also proceeds to lease Physical Server C as part of a new laaS agreement it signs with the cloud provider.
Organization A wants to provision Physical Server C with a number of legacy systems that cannot be deployed on virtual servers. However, when it attempts to do so, it realizes that its laaS package only provides Physical Server C as an out-of-the-box hardware server without anything installed on it. In order to deploy its legacy systems Organization A requires that Physical Server C first has an operating system installed, but it has no means of remotely provisioning Physical Server C with an operating system.

Organization A would like to deploy two of its legacy systems on Virtual Server A and to further extend Cloud Service A's functions so that it can be used as an external interface for cloud service consumers to access legacy system features. Additionally, Organization A would like to deploy three of its mission-critical legacy systems on Virtual Server B in order to take advantage of the additional performance and failover benefits provided by the virtual server cluster that Virtual Server B is part of. Each of the five legacy systems is comprised of dozens of components that need to be installed individually. Instead of manually installing each component of each legacy system, Organization A would like to customize workflows that can automate these deployment tasks.
During the first few months of working with its cloud-based legacy systems. Organization A receives a number of complaints from users that the cloud-based legacy systems are at times behaving erratically. However, when cloud resource administrators with Organization A review the cloud provider's reports that log usage, downtime and other runtime characteristics, they do not find any indication of erratic behavior or any other comparable problems. After some further investigation, the cloud resource administrators determine that the nature of the erratic behavior is specific to proprietary features of the legacy systems and is therefore not monitored or logged by the cloud provider's standard audit monitor, pay-per-use monitor or automated scaling listener. The cloud resource administrators recommend that a new service agent be developed with features customized to monitor the legacy systems.
Which of the following statements provides a solution that can address Organization A's requirements?

• A. The Bare-Metal Provisioning pattern can be applied to enable Organization A to provisioning Physical Server C with legacy systems after the operating system has been installed. The Synchronized Operating State pattern can be applied to consolidate Organization A's legacy systems via a centralized administration portal from which it can then automate their deployment. The Automated Administration pattern can be applied to establish a series of workflow scripts customized to monitor and log proprietary legacy system behavior.
• B. None of the above.
• C. The Rapid Provisioning pattern can be applied to enable Physical Server C to be remotely provisioned with the operating system and legacy systems. The Centralized Remote Administration pattern can be applied to enable Organization A's employees to remotely manage and administer legacy system deployment. The Pay-as-You-Go pattern can be applied to establish the custom monitoring functionality required by Organization A's legacy systems.
• D. The Bare-Metal Provisioning pattern can be applied to remotely provision Physical Server C with the operating system required to deploy the legacy systems. The Automated Administration pattern can be applied to enable Organization A to create custom scripts that can carry out the deployment of the legacy system components via the use of an intelligent automation engine. To provide Organization X with the tools to monitor IT resource usage and collect usage data so that security breaches and other impacts do not occur, the Usage Monitoring pattern can be applied to establish the required custom monitoring functionality.