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NEW QUESTION: 1
どの質問が顧客の成功要因を定義するのに最適な情報を提供していますか？
A. どんなサービスが必要ですか？
B. どのシスコ製品がお客様の目標に最も適していますか？
C. このプロジェクト/イニシアチブのビジネス目標は何ですか？
D. 投資収益率をより正確に測定するには、どんなツールをお探しですか？
Answer: C

NEW QUESTION: 2
Which diagnostic command can you use to show the SD-WAN rules interface information and state?
A. diagnose sys virtual-wan-link member.
B. diagnose sys virtual-wan-link neighbor.
C. diagnose sys virtual-wan-link route-tag-list
D. diagnose sys virtual-wan-link service
Answer: A

NEW QUESTION: 3
A company with a first-generation deduplication appliance is migrating to an HP StoreOnce 6200 Backup System. After migration, what will be the size of the deduplication block?
A. 8 kb
B. 4 kb
C. 32 kb
D. 16 kb
Answer: B
Explanation:
Deduplication Optimization HP created a highly-optimized deduplication approach that introduces time- and space-saving techniques. With the goal of eliminating the maximum amount of redundancy in its data inspection, while also maintaining a small index to deliver the fastest performance, the company focused on two components of its deduplication approach: an average variable chunk size of 4K, and a sparse index. HP's Adaptive Micro-Chunking uses variable-length data segments or chunks. The backup stream is broken down into approximately 4K variable-length segments that are examined for redundancy versus previously stored information. Smaller segments means there are more chunks and index comparisons, which also means a higher potential to locate and eliminate redundancy (and produce higher reduction ratios). Comparative solutions use block sizes that range from 8K to 32K. The tradeoff with small chunk sizes is a greater number of index look-ups-which could mean slower deduplication performance. However, HP Labs developed HP Predictive Acceleration technology to maintain performance and reduce RAM requirements. By using a subset of key values stored in memory, StoreOnce determines a small number of sequences already stored on disk that are similar to any given input sequence-what HP refers to as sparse indexing. Then each input sequence is only deduplicated against those few sequences. This minimizes disk IO and uses less disk and little memory, creating more efficiency and enabling faster ingest and, importantly, restoration of data. HP's approach accelerates reads/writes, and delivers rapid ingest rates of up to 28 TB/hour. Predictive Acceleration has enabled HP to require up to 50% less RAM than comparable solutions.