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NEW QUESTION: 1
リソース割り当てを制御し、複数のオペレーティングシステムゲストを同じ物理プラットフォームで実行できるようにする仮想化環境のソフトウェアは、次のように呼ばれます。
A. LPAR。
B. ハイパーバイザー。
C. VDI。
D. ブローカー。
Answer: B
NEW QUESTION: 2
Which of the following statements about Spring @MVC is NOT true (select one)
A. Classes annotated with @Controller annotation can be detected by component scanning and loaded as Spring beans
B. The DispatcherServlet, controller beans and other collaborators are all defined and configured in web.xml
C. Data can be passed from the controller to the view by use of the special Model parameter
D. Controllers are typically able to delegate to business methods in an application because a reference to a service bean can be injected into the controller
Answer: B
NEW QUESTION: 3
次の展示に示すように、Azure SQLデータウェアハウスに実装する予定のデータモデルがあります。
圧縮後、すべてのディメンションテーブルは5 GB未満になり、ファクトテーブルは約6 TBになります。
各テーブルにどのタイプのテーブルを使用する必要がありますか？ 回答するには、回答エリアで適切なオプションを選択します。
注：それぞれの正しい選択には1ポイントの価値があります。
Answer:
Explanation:
Explanation:
Box 1: Replicated
Replicated tables are ideal for small star-schema dimension tables, because the fact table is often distributed on a column that is not compatible with the connected dimension tables. If this case applies to your schema, consider changing small dimension tables currently implemented as round-robin to replicated.
Box 2: Replicated
Box 3: Replicated
Box 4: Hash-distributed
For Fact tables use hash-distribution with clustered columnstore index. Performance improves when two hash tables are joined on the same distribution column.
References:
https://azure.microsoft.com/en-us/updates/reduce-data-movement-and-make-your-queries-more-efficient-with-the-general-availability-of-replicated-tables/
https://azure.microsoft.com/en-us/blog/replicated-tables-now-generally-available-in-azure-sql-data-warehouse/