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NEW QUESTION: 1
システム管理者は、データストレージの割り当てを複数の物理ドライブに分散し、それらが仮想サーバーファームと通信するために適切にマッピングされていることを確認する必要があります。管理者には、データストレージが使用されずに割り当てられないように、これらのマッピングを迅速に作成または削除する機能も必要です。次の保管方法のうちどれがこれらの要件に合うでしょうか。
A. 仮想LUN
B. 物理LUN
C. サブネットマスキング
D. マルチパス
Answer: D
NEW QUESTION: 2
アプリケーションは、次の形式でJSONデータを受信します。
アプリケーションは、次のコードセグメントを含みます。（行番号は参考のために含まれるだけです。）
あなたはConvertToName（）メソッドは、名前のオブジェクトとしてJSON入力文字列を返すことを確認する必要があります。
あなたは、第10行でどのコード部分を挿入するべきですか？
A. Return ser.ConvertToType<Name>(json);
B. Return ser.DeserializeObject(json);
C. Return (Name)ser.Serialize(json);
D. Return ser.Deserialize<Name>(json);
Answer: D
Explanation:
JavaScriptSerializer.Deserialize<T> - Converts the specified JSON string to an object of type T.
http://msdn.microsoft.com/en-us/library/bb355316.aspx
NEW QUESTION: 3
Your customer has an existing Isilon cluster with seven X200 nodes. The cluster is used to store home directories and departmental shared folders. They are planning to deploy a new application that generates small block, synchronous writes.
Which OneFS 7 capability can help reduce latency for the new workload?
A. Solid State Drives
B. Endurant Cache
C. L2 Cache
D. Prefetcher
Answer: B
Explanation:
Explanation/Reference:
Reference: http://isilonblog.emc.com/diving-deeper-into-isilon-onefs-7-0/ (performance, third para)
NEW QUESTION: 4
What data does a Reducer reduce method process?
A. All data produced by a single mapper.
B. All data for a given value, regardless of which mapper(s) produced it.
C. All data for a given key, regardless of which mapper(s) produced it.
D. All the data in a single input file.
Answer: C
Explanation:
Reducing lets you aggregate values together. A reducer function receives an iterator of input values from an input list. It then combines these values together, returning a single output value.
All values with the same key are presented to a single reduce task.
Reference: Yahoo! Hadoop Tutorial, Module 4: MapReduce