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NEW QUESTION: 1
An implementation engineer needs to monitor the SP Boot process.
What can they use to establish a Serial over LAN connection?
A. IPMI
B. KVT
C. IMT
D. puTTY
Answer: A
Explanation:
Reference:
https://community.emc.com/docs/DOC-63404
NEW QUESTION: 2
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。各質問はそれぞれ異なる目標と答えの選択を提示しますが、シナリオの本文はシリーズの各質問でまったく同じです。
繰り返しシナリオの開始
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、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、会社はそれを毎日に変更したいと考えています。 FactOrder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。
*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パーティションを実装します。できるだけ細かいパーティション戦略を使用します。
*FactOrder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。
*履歴データをオンラインのままにしてクエリに使用できるようにします。
*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。
繰り返しシナリオの終了
Dimension.SalesTerritory、Dimension.Customer、およびDimension.Dateテーブルのデータロードを最適化する必要があります。
各テーブルにどのテクノロジを使用する必要がありますか？
回答するには、回答領域で適切なテクノロジを選択してください。
Answer:
Explanation:
Explanation
Box 1: Temporal table
Box 2: Temporal table
Compared to CDC, Temporal tables are more efficient in storing historical data as it ignores insert actions.
Box 3: Change Data Capture (CDC)
By using change data capture, you can track changes that have occurred over time to your table. This kind of functionality is useful for applications, like a data warehouse load process that need to identify changes, so they can correctly apply updates to track historical changes over time.
CDC is good for maintaining slowly changing dimensions.
Scenario: Optimize data loading for the Dimension.SalesTerritory, Dimension.Customer, and Dimension.Date tables.
The Dimension.SalesTerritory and Dimension.Customer tables are frequently updated.
References:
https://www.mssqltips.com/sqlservertip/5212/sql-server-temporal-tables-vs-change-data-capture-vs-change-track
https://docs.microsoft.com/en-us/sql/relational-databases/tables/temporal-table-usage-scenarios?view=sql-server
NEW QUESTION: 3
A. Totally Not-So-Stubby Area
B. Stub Area
C. Not-So-Stubby Area
D. Totally Stubby Area
Answer: A,D
Explanation:
Source
https://www.cisco.com/c/en/us/support/docs/ip/open-shortest-path-first-ospf/13703-8.html#anc2
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