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NEW QUESTION: 1
A customer needs to determine the optimal distribution strategy for the ORDERS fact table in its Redshift schema. The ORDERS table has foreign key relationships with multiple dimension tables in this schema.
How should the company determine the most appropriate distribution key for the ORDERS table?
A. Identify the largest and most frequently joined dimension table and ensure that it and the ORDERS table both have EVEN distribution.
B. Identify the largest and the most frequently joined dimension table and designate the key of this dimension table as the distribution key of the ORDERS table.
C. Identify the largest dimension table and designate the key of this dimension table as the distribution key of the ORDERS table.
D. Identify the smallest dimension table and designate the key of this dimension table as the distribution key of the ORDERS table.
Answer: B
Explanation:
https://aws.amazon.com/blogs/big-data/optimizing-for-star-schemas-and-interleaved-sorting-on- amazon-redshift/

NEW QUESTION: 2
あなたはC＃を使用してアプリケーションを開発しています。アプリケーションは、実行時間の長い処理を行うオブジェクトを含みます。プロセスが完了するまで、ガベージコレクタがオブジェクトのリソースを解放しないことを確認する必要があります。どのガベージ・コレクタ・メソッドを使うべきでしょうか。
A. WaitForFullGCApproach()
B. KeepAlive()
C. WaitForPendingFinalizers()
D. WaitForFullGCComplete()
Answer: B
Explanation:
Explanation
The GC.KeepAlive method references the specified object, which makes it ineligible for garbage collection from the start of the current routine to the point where this method is called.
The purpose of the KeepAlive method is to ensure the existence of a reference to an object that is at risk of being prematurely reclaimed by the garbage collector.
The KeepAlive method performs no operation and produces no side effects other than extending the lifetime of the object passed in as a parameter.
Reference: GC.KeepAlive Method (Object)
https://msdn.microsoft.com/en-us/library/system.gc.keepalive(v=vs.110).aspx

NEW QUESTION: 3
PowerStoreでの書き込み操作のシーケンスを正しく配置します。

書き込み操作
この図は、PowerStoreが書き込み要求を受信したときのプロセスを説明しています。

1：ステップ1。
この例では、I / OはノードBに入り、ノード内に保存されます
DRAMメモリ。 I / Oを分析して、以下を決定します。
1.どのタイプのI / Oです。
2.対象となるリソース。
3.更新または要求されているリソース内の場所。
4.およびその他のメタデータ情報。
2：ステップ2。
I / Oが書き込みであると判断された場合、データはNVRAMドライブの書き込みキャッシュにコピーされます。情報が書き込みキャッシュに格納された後、DRAMメモリに格納された情報は、情報の最新のコピーがなくなったため、クリーンであると見なされます。このデータは、後でキャッシュ内で新しいデータまたはアクセス頻度の高いデータに置き換えられるまで、読み取りキャッシュの一部になります。
a。
3：ステップ3。
システムに入る書き込みI / Oごとに、情報が渡されます
トークンを使用してノード間で。この操作は、新しい書き込みが受信され、データの最新のコピーがあることをピアノードに更新します。トークンには、更新されたリソースや更新されたリソース内のアドレスなど、I / Oに関する情報が含まれます。トークンには、書き込みキャッシュ内でI / Oが保存された場所に関するデータ効率に関する情報も含まれます。ピアノードがその情報を要求すると、ノードは独自の内部チャネルを使用してNVRAMドライブ内のデータにアクセスできます。
4：ステップ4。
情報がNVRAMドライブの不揮発性メディアに安全に保存され、他のすべてのアクションが完了した後、ホストは確認応答されます。
5：ステップ5。
ホストが確認された後、データは書き込みキャッシュからコピーされ、重複排除および圧縮ロジックを通過します。その後、残りのデータは2 MBのストライプにアセンブルされ、バックエンドストレージに保存されます。
Answer:
Explanation:

Reference:
https://www.delltechnologies.com/resources/en-us/asset/white-papers/products/storage/h18151-dell-emc-powerstore-data-efficiencies.pdf