Arcitura Education Exam C90.06 Topic 1 Question 8 Discussion

Actual exam question for Arcitura Education's C90.06 exam

Question #: 8
Topic #: 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?

AThe 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.

BThe 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.

CThe 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.

DNone of the above.

Show Suggested Answer

Suggested Answer: B

by Arminda at May 26, 2022, 06:50 PM

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2 months ago

I don't know, option A with the Storage Maintenance Window pattern sounds pretty good to me. Proactive maintenance could help prevent these kinds of outages in the first place.

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Sanjuana

22 days ago

User 3: It's important to have resources reserved specifically for Cloud Service A to avoid performance issues.

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Valentin

29 days ago

User 2: Option A does seem like a solid solution with the Storage Maintenance Window pattern.

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Steffanie

1 months ago

User 1: I agree, proactive maintenance is key to preventing unexpected outages.

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2 months ago

I think the correct answer is C. The Cloud Balancing pattern allows Cloud Service A to switch to Cloud Storage Device C when Device A is unavailable, and the Dynamic Data Normalization pattern can help reduce the performance impact during high usage.

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