Describe and Configure Data Reduction UNITY-DEPLOY Practice Questions (Page 5)

Questions 21–24

1. 21foundation · easy

   Which metric indicates the effectiveness of Data Reduction on a Dell Unity system?

   • ALatency
   • BReduction ratio
   • CIOPS (Input/Output Operations Per Second)
   • DNetwork throughput
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2. 22foundation · easy

   Which two techniques are combined by Dell Unity Data Reduction to save storage capacity?

   • ADeduplication and compression
   • BTiering and caching
   • CEncryption and erasure coding
   • DThin provisioning and snapshots
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4. 23application · medium

   A Unity array hosts a virtual machine (VM) environment where many VMs run the same operating system and applications. The storage administrator wants to maximize capacity savings. Which statement about Data Reduction in this scenario is accurate?

   • ACompression will identify common blocks across VMs, while deduplication will reduce the size of unique blocks.
   • BDeduplication will only work on file systems, not on VM LUNs.
   • CDeduplication will identify common blocks across VMs, while compression will reduce the size of unique blocks.
   • DCompression will be more effective than deduplication because VMs have unique data.
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5. 24application · medium

   A hospital is deploying a new Unity array for its electronic medical records (EMR) system. The storage team plans to enable Data Reduction on the pool that will host the EMR database LUNs. The EMR vendor states that the database uses heavy write activity with large random I/O blocks, and the data is already encrypted at the application layer before being written to storage. The team wants to maximize capacity savings without introducing avoidable latency. What should the storage administrator do?

   • AEnable Data Reduction on the pool, because the EMR data is highly compressible despite the encryption.
   • BLeave Data Reduction disabled on the pool, because the encrypted and random I/O workload will yield minimal savings while adding CPU overhead.
   • CEnable Data Reduction only on the LUNs, not the pool, to avoid affecting the entire pool's performance.
   • DEnable Data Reduction on the pool and disable it on the snapshot schedule to reduce overhead.
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