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NEW QUESTION: 1
What are the two uses of the VANG data modeling language? (Choose two.)
A. It Is used to replace RESTCONF as a mechanism to install and manipulate configuration.
B. It is used to replace the OSl model for troubleshooting.
C. It Is used to model the configuration used by NETCONF operations.
D. It is used to access a device by HTTP.
E. It is used to shape state data or network elements.
Answer: C,E
Explanation:
Explanation
https://www.cisco.com/c/en/us/td/docs/ios-xml/ios/prog/configuration/1611/b_1611_programmability_cg/config
NEW QUESTION: 2
A customer has an E870 with AIX, IBM i and RHEL installed.
Which virtualization technology allows multiple operating systems to share the same adapter simultaneously with low CPU usage?
A. RoCE
B. SR-IOV
C. HEA
D. SEA
Answer: B
Explanation:
Explanation/Reference:
PowerVM Single Root I/O Virtualization (SR-IOV) technology allows multiple partitions to share PCIe devices. SR-IOV minimizes contention with CPU and memory resources.
Incorrect Answers:
A: HEA is not supported on POWER8 processor-based server.
References: https://www.ibm.com/developerworks/community/wikis/home?lang=en#!/wiki/Power%
20Systems/page/SR-IOV%20Frequently%20Asked%20Questions?section=What%20is%20PowerVM%
20SR-IOV%20technol
NEW QUESTION: 3
注：この質問は同じシナリオを使用する一連の質問の一部です。あなたの便宜のために、シナリオは各質問で繰り返されます。それぞれの質問は異なる目標と答えの選択を提示しますが、シナリオのテキストはこのシリーズのそれぞれの質問でまったく同じです。
複数のクライアントアプリケーションをサポートするMicrosoft SQL Serverデータウェアハウスインスタンスがあります。
データウェアハウスには、Dimension.SalesTerritory、Dimension.Customer、Dimension.Date、Fact.Ticket、およびFact.Orderの各テーブルがあります。 Dimension.SalesTerritoryテーブルとDimension.Customerテーブルは頻繁に更新されます。 Fact.Orderテーブルは毎週のレポート作成に最適化されていますが、会社は毎日それを変更したいと考えています。 Fact.OrderテーブルはETLプロセスを使用して読み込まれます。インデックスは時間の経過とともにテーブルに追加されましたが、これらのインデックスが存在するとデータのロードが遅くなります。
データウェアハウス内のすべてのデータは共有SANに保管されています。すべてのテーブルはDB1という名前のデータベースにあります。開発環境用の実動データのコピーを含む、DB2という名前の2番目のデータベースがあります。データウェアハウスは拡大し、ストレージのコストは増加しました。 1年を超えるデータはめったにアクセスされず、履歴と見なされます。
以下の要件があります。
* データウェアハウスの管理性を向上させ、毎晩すべてのトランザクションデータを再作成する必要性を回避するために、テーブル分割を実装します。できるだけ細かい区分化戦略を使用してください。
* Fact.Orderテーブルを分割し、合計7年間のデータを保持します。
* Fact.Ticketテーブルを分割し、7年間のデータを保持します。毎月末に、パーティション構造はスライディングウィンドウ方式を適用して、次の月に新しいパーティションが使用可能になり、最も古い月のデータがアーカイブされて削除されるようにする必要があります。
* Dimension.SalesTerritory、Dimension.Customer、およびDimension.Dateテーブルのデータロードを最適化します。
* データベース内のすべてのテーブルを増分ロードし、すべての増分変更が確実に処理されるようにします。
* Fact.Orderパーティションのデータロード処理中のパフォーマンスを最大化します。
* 履歴データがオンラインのままであり、クエリに利用できることを確認します。
* 現在のデータに対するクエリパフォーマンスを維持しながら、継続的なストレージコストを削減します。
クライアントアプリケーションを変更することは許可されていません。
Fact.Ticketテーブルのパーティション化を実装する必要があります。
どの3つのアクションを順番に実行しますか？ 答えるには、適切なアクションを正しい場所にドラッグします。 各アクションは1回、2回以上、またはまったく使用しないでください。 コンテンツを表示するには、ペイン間の分割バーをドラッグするか、スクロールする必要があります。
注：回答の選択肢の複数の組み合わせが正しいです。 あなたが選択した正しい組み合わせのいずれかのためのクレジットを受け取ります。
Answer:
Explanation:
Explanation
From scenario: - Partition the Fact.Ticket table and retain seven years of data. At the end of each month, the partition structure must apply a sliding window strategy to ensure that a new partition is available for the upcoming month, and that the oldest month of data is archived and removed.
The detailed steps for the recurring partition maintenance tasks are:
References:
https://docs.microsoft.com/en-us/sql/relational-databases/tables/manage-retention-of-historical-data-in-system-ve