Q. How does resource replication relate to the direct LUN access architecture?

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Q. When might virtual servers need direct access to RAW block-based storage in the direct LUN access architecture?

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Q. What enables virtual servers' physical connectivity to the LUN and cloud storage device in the direct LUN access architecture?

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Q. What is the purpose of configuring cloud storage devices using raw device mapping?

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Q. How does the Cloud Usage Monitor contribute to the direct LUN access architecture?

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Q. What role does the Pay-Per-Use Monitor play in managing direct LUN access?

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Q. What is the primary focus of resource replication in the direct LUN access architecture?

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Q. What issues can redundant data cause in cloud-based environments?

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Q. When a cloud consumer copies 100 MB of files onto a cloud storage device and the data is redundantly copied ten times, what is the total amount of storage space consumed?

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Q. How does the dynamic data normalization architecture address the issue of redundant data in cloud storage devices?

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Q. What is the primary function of the hash code assigned to every piece of data in the de-duplication system?

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Q. In what types of cloud storage devices can the de-duplication system of the dynamic data normalization architecture be applied?

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Q. What is the key advantage of the de-duplication system in the dynamic data normalization architecture?

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Q. What are some of the potential consequences of redundant data in cloud-based environments?

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Q. When redundant data is stored in a cloud environment, what can happen to storage costs?

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Q. How does the dynamic data normalization architecture handle redundant data on cloud storage devices?

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Q. What is the primary function of the hash code assigned to each piece of data in the de-duplication system?

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Q. In what types of cloud storage devices is the de-duplication system most effective?

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Q. What does the dynamic data normalization architecture aim to achieve in relation to redundant data?

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Q. What issue can inhibit the performance and scalability of IT resources even when scaled on-demand by a cloud platform?

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