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NEW QUESTION: 1


Answer:
Explanation:

Explanation

NEW QUESTION: 2
銀行取引をリアルタイムで分析するソリューションを設計しています。トランザクションはアルゴリズムを使用して評価され、5つのグループのいずれかに分類されます。トランザクションが分類プロセスに送信される前に、トランザクションデータはAzure SQL Databaseから取得した情報で強化されます。強化プロセスにはカスタムコードが必要です。異なる銀行からのデータには、異なるストアドプロシージャが必要になります。
ソリューションのパイプラインを開発する必要があります。
データの取り込みと準備にどのコンポーネント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:
References:
https://docs.microsoft.com/bs-latn-ba/azure/architecture/example-scenario/data/fraud-detection

NEW QUESTION: 3
A telco company is struggling to retain their high value customers.The marketing team has access to the billing data and is using it for customer segmentation. They would like to tap on network and social data to understand customer behavior before crafting any special offer. How best can they achieve this task?
A. By creating a dedicated data mart in their current Enterprise Data Warehouse
B. By loading network, social, and billing data in BigInsights and using available analytics tools
C. By loading both network and social data in the current Enterprise Data Warehouse, then run analytics
D. By loading network and social data in BigInsights for exploration then moving resulting data toEnterprise Data Warehouse, and merging with billing data for analytics
Answer: D
Explanation:
Reference:
https://ibmdatawarehousing.wordpress.com/category/ibm-data-warehouse/