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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Q. What does the elastic network capacity architecture aim to achieve?

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Q. How is additional bandwidth allocated dynamically in the elastic network capacity architecture?

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Q. What is the role of the network resource pool in this architecture?

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Q. In which situation might the intelligent automation engine need to run a separate script?

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Q. What is the role of the Hypervisor in the elastic network capacity architecture?

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Q. What is the primary goal of the elastic network capacity architecture?

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Q. How does the automated scaling listener and intelligent automation engine work together in elastic network capacity architecture?

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Q. What role does the Logical Network Perimeter play in the elastic network capacity architecture?

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Q. What does the Pay-Per-Use Monitor track in elastic network capacity architecture?

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Q. How is resource replication used in the elastic network capacity architecture?

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Q. What is the relationship between virtual servers and network resources in elastic network capacity architecture?

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Q. Why are conventional methods of vertical scaling in cloud storage devices considered inefficient and time-consuming?

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