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NEW QUESTION: 1
How is the IBM FlashSystem more efficient than competitor products?
A. Lower latency
B. Packaging of SSDs
C. Millisecond response time
D. Uses only SLC Flash
Answer: A
NEW QUESTION: 2
When you post a goods issue, which external factors does quantity conversion take into account for crude oil?
Note: There are 2 correct answers to this question.
A. Density
B. Heating value
C. Pressure
D. Temperature
Answer: A,D
NEW QUESTION: 3
What database actions can the DataLoader perform?
A. Insert, Extract, Update, upsert and Delete
Answer: A
NEW QUESTION: 4
Azure SQL Data Warehouseインスタンスを実装します。
最大のファクトテーブルをAzure SQL Data Warehouseに移行する予定です。テーブルはオンプレミスのMicrosoft SQL Serverにあり、サイズは10テラバイト（TB）です。
着信クエリは、プライマリキーのSale Key列を使用して、次の表に示すようにデータを取得します。
テーブルのパフォーマンスを最適化するには、大きなファクトテーブルを複数のノードに分散する必要があります。
どのテクノロジーを使用する必要がありますか？
A. クラスター化インデックスを使用したラウンドロビン分散テーブル
B. クラスター化されたColumnStoreインデックスを持つハッシュ分散テーブル
C. クラスター化されたColumnStoreインデックスを持つラウンドロビン分散テーブル
D. クラスター化インデックスを使用したハッシュ分散テーブル
E. 分散レプリケートのヒープテーブル
Answer: B
Explanation:
Hash-distributed tables improve query performance on large fact tables.
Columnstore indexes can achieve up to 100x better performance on analytics and data warehousing workloads and up to 10x better data compression than traditional rowstore indexes.
References:
https://docs.microsoft.com/en-us/azure/sql-data-warehouse/sql-data-warehouse-tables-distribute
https://docs.microsoft.com/en-us/sql/relational-databases/indexes/columnstore-indexes-query-performance
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