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NEW QUESTION: 1
Your client needs to consolidate their financial information from various business sites.
Which statement does NOT represent a difference between a Multi-Site Consolidation and other Organizational Structure?
A. Multi-site consolidation uses elimination rules; Organizational Structure does not use these rules.
B. Multi-site consolidation can process consolidation from non-EnterpriseOne applications.
C. The Organizational Structure Definition application updates the Structure Definition table.
D. User Defined Codes 00/01 through 00/30 and 09/01 through 09/23 must be updated prior to defining the business unit and account structure.
E. You cannot consolidate the balance of multiple locations in a mufti-site consolidation, but you can perform this activity with organizational reporting structure.
Answer: C
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。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、会社はそれを毎日に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。
テーブルのデータロードを設定する必要があります。
各テーブルにどのデータロードテクノロジを使用する必要がありますか。回答するには、回答領域で適切なオプションを選択します。
Answer:
Explanation:
Explanation
Scenario: The Dimension.SalesTerritory and Dimension.Customer tables are frequently updated Optimize data loading for the Dimension.SalesTerritory, Dimension.Customer, and Dimension.Date tables.
Box 1: Change Tracking
Box 2: Change Tracking
Box 3: Temporal Table
Temporal Tables are generally useful in scenarios that require tracking history of data changes.
We recommend you to consider Temporal Tables in the following use cases for major productivity benefits.
* Slowly-Changing Dimensions
Dimensions in data warehousing typically contain relatively static data about entities such as geographical locations, customers, or products.
References:
https://docs.microsoft.com/en-us/sql/relational-databases/tables/temporal-table-usage-scenarios
NEW QUESTION: 3
You are designing a solution for a company. You plan to use Azure Databricks.
You need to recommend workloads and tiers to meet the following requirements:
* Provide managed clusters for running production jobs.
* Provide persistent clusters that support auto-scaling for analytics processes.
* Provide role-based access control (RBAC) support for Notebooks.
What should you recommend? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.
Answer:
Explanation:
Explanation
Box 1: Data Engineering Only
Box 2: Data Engineering and Data Analytics
Box 3: Standard
Box 4: Data Analytics only
Box 5: Premium
Premium required for RBAC. Data Analytics Premium Tier provide interactive workloads to analyze data collaboratively with notebooks References:
https://azure.microsoft.com/en-us/pricing/details/databricks/