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SOA Cloud Architecture Lab Sample Questions:
1. Cloud Service A is hosted by Virtual Server A.
Cloud Storage Device A contains LUN A.
Cloud Storage Device A is a multi-tiered cloud storage device with different types of disk groups that perform at different levels. LUN A is located in the disk group with the highest performance level. Cloud Service B is hosted by Virtual Server B.
Virtual Servers A and B are hosted by HypervisorA, which is installed on a physical server (not shown) that resides in Cloud A.
A redundant implementation of LUN A is replicated synchronously to Cloud Storage Device C.
Cloud Storage Device C does not support multiple types of disk groups and resides in Cloud B, which is located in a different geographic region than Cloud A.
Requests that cloud service consumers send to Cloud Services A and B are intercepted by an automated scaling listener responsible for initiating scaling activities.
Cloud Service Consumer A issues a request to Cloud Service A (1). To process the request, Cloud Service A accesses LUN Aon Cloud Storage Device A (2). Cloud Service Consumer B issues a request to Cloud Service B (3). To process the request, Cloud Service B accesses LUN B on Cloud Storage Device B (4).
When Cloud Service Consumer A accesses Cloud Service A, there is usually no noticeable performance fluctuation, even during peak usage periods. However, recently, Cloud Storage Device A became unexpectedly unavailable, requiring that Cloud Service A access LUN A on Cloud Storage Device C instead. During the following outage period for Cloud Storage Device A, Cloud Service Consumer A encounters inconsistent performance from Cloud Service A, including unusual delays that occur whenever the data requested by Cloud Consumer A isn't cached and Cloud Service A is required to retrieve the data from LUN A.
Which of the following statements describes a solution that can address this problem?
A) None of the above.
B) The Cloud Balancing pattern can be applied to enable Cloud Service A to switch over to Cloud Storage Device C if Cloud Storage Device A becomes unavailable. The Dynamic Data Normalization pattern can be further applied to streamline and reduce the quantity of the data being stored by LUN A within Cloud Storage Device A, so as to correspondingly reduce the performance impacts during high usage volumes.
C) The Shared Resources pattern can be applied to prevent Cloud Service A from encountering performance issues when IT resources hosted by Hypervisor A are accessed by other cloud service consumers. The Cross-Storage Device Vertical Tiering pattern can be applied to enable Cloud Storage Device A to scale to a higher performance disk type when an outage occurs.
D) The Storage Maintenance Window pattern can be applied so that future outages of Cloud Storage Device A do not occur unexpectedly. The Resource Pooling and Resource Reservation patterns can be further applied to establish a resource pool on Cloud A that has resources reserved specifically for Cloud Service A.
This will prevent other cloud service consumers, such as Cloud Service Consumer B, from competing for Cloud Service A's resources.
2. Physical Server A hosts Hypervisor A which hosts Virtual Server A, Virtual Server B and an active cluster comprised of three virtual servers. Virtual Server A hosts Ready-Made Environment A.
Ready-Made Environment A uses Cloud Storage Device A to store data related to the ready-made environment and its users. Cloud Service A is hosted by a high- availability (HA) virtual server cluster. Hypervisor A is a cluster-enabled hypervisor.
Developers access Ready-Made Environment A to work on the development of a new solution (1). During this usage. Ready-Made Environment A regularly reads and writes data to Cloud Storage Device A (2). Cloud Service Consumer B accesses Cloud Service A (3).
Cloud Service A queries data residing in Cloud Storage Device A in response to processing requests from Cloud Service Consumer B (4).
Hypervisor A is made part of a cluster of hypetvisors. Ready-Made Environment A, which is still hosted by Virtual Server Aon Hypervisor A, subsequently becomes unexpectedly unavailable. It then takes twenty minutes to pass before Virtual Server A and Ready-Made Environment A become available again on Hypervisor B (a hypervisor that is also part of the hypervisor cluster). This delay is considered unacceptable by Cloud Consumer A.
Furthermore, after being relocated to Hypervisor B, Virtual Server A is unable to connect to the network. By the time the cloud provider rectifies this second problem, Cloud Consumer A experiences a total of two hours of downtime.
Which of the following statements describes a solution that can minimize or entirely avoid a delay for the runtime relocation of Ready-Made Environment A?
A) The Load Balanced Virtual Server Instances pattern can be applied in combination with the Elastic Network Capacity pattern in order to establish a system whereby Ready-Made Environment A can be smoothly transitioned between hypervisors in the same cluster, while its underlying virtual server maintains the network connection.
B) The Load Balanced Virtual Server Instances and Persistent Virtual Network Configuration patterns can be applied together to ensure that the virtual servers retain their network configurations when moving to another hypervisor. The Redundant Storage pattern can further be applied to move the ready-made environment to another hypervisor without service impact.
C) The Non-Disruptive Service Relocation pattern can be applied to place a secondary copy of Ready-Made Environment A on Hypervisor B.
The Persistent Virtual Network Configuration pattern can be applied so that virtual servers retain network configurations when moving to other hypervisors.
D) The Hypervisor Clustering pattern was incorrectly applied and therefore needs to be re- applied correctly in order to establish a native system capable of instantly relocating virtual servers between hypervisors within the same cluster. The Direct I/O Access pattern can then also be applied so that the virtual servers retain their network configurations regardless of which hypervisor within the cluster they reside on.
Solutions:
Question # 1 Answer: A | Question # 2 Answer: C |
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