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NEW QUESTION: 1
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。
*-現在のデータの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.Orderテーブルを設定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、適切な行動を行動のリストから回答領域に移動し、正しい順序で並べます。

Answer:
Explanation:

Explanation

From scenario: Partition the Fact.Order table and retain a total of seven years of data. Maximize the performance during the data loading process for the Fact.Order partition.
Step 1: Create a partition function.
Using CREATE PARTITION FUNCTION is the first step in creating a partitioned table or index.
Step 2: Create a partition scheme based on the partition function.
To migrate SQL Server partition definitions to SQL Data Warehouse simply:
Step 3: Execute an ALTER TABLE command to specify the partition function.
References: https://docs.microsoft.com/en-us/azure/sql-data-warehouse/sql-data-warehouse-tables-partition

NEW QUESTION: 2
이코노미 주문 수량 (EOQ) 결정 모델을 사용하면 <List A>가 <List B>에 의해 상쇄되거나 균형을 이룹니다.

A. 옵션 C
B. 옵션 B
C. 옵션 A
D. 옵션 D
Answer: C
Explanation:
The objective of the EOQ model is to find an optimal order quantity that balances carrying and ordering costs. Only variable costs should be considered. The EOQ is the point where the ordering cost and carrying cost curves intersect. It corresponds to the minimum point on the total inventory cost curve.

NEW QUESTION: 3
A customer requests that you determine how much of their remote branch traffic into a central data center is related to a call manager that resides in the data center. Which solution do you recommend?
A. Enable NetFLow on branch routers
B. Perform SNMP polling of central data center routers
C. Enable netFlow on central data center routers
D. Span traffic from the switch port on the call manager to a data analyzer
E. Create an ACL on the local call manager switch with logging enabled
F. Perform SNMP polling of branch routers
Answer: C

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