A. Option D
B. Option C
C. Option A
D. Option B
Answer: A
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NEW QUESTION: 1
A. Option D
B. Option C
C. Option A
D. Option B
Answer: A
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
ポータルスポンサーのCisco ISEゲストサービスの目的は何ですか。
A. しっかりとCisco ISEゲストサービスのためのゲストユーザを認証します。
B. Cisco ISEに接続しながら、ユーザのアクティビティを追跡し、保存します。
C. ゲストユーザアカウントを作成し、管理します。
D. Cisco ISEに口座保有者からゲストユーザをフィルタリングします。
Answer: C
NEW QUESTION: 4
View the Exhibit.
What four facts can you determine by examining the Object Navigator?
A. The Orders block is a detail block.
B. You can delete an order without deleting its order items.
C. The Orders block is a master block.
D. You cannot delete order items without deleting the order.
E. If an order is deleted, all of its order items are deleted.
F. An order can be deleted only if it has no order items.
G. The Order_Items block is a master block.
H. The inventories block is a master block.
I. If you delete an order item, all of its associated inventory items are deleted.
J. The Order_Items block is a detail block.
Answer: C,E,F,J
Explanation:
Explanation: B: Order_Items is a detail block.
C (not F): A master block record cannot be deleted if there are corresponding detail block records.
D: To delete an order, all the corresponding order items must be deleted, for example through an ON-CHECK-DELETE-MASTER trigger.
G: The Orders block is a master block.