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NEW QUESTION: 1
アプリケーションは数百のオフィスで従業員のためのDynamoDBの中で毎晩給与情報を保存します。アイテムの属性は個人名、オフィス識別子、および累積毎日時間で構成されています。管理者は自分のオフィスで働くの名前の範囲のレポートを実行します。1つのクエリは「Eを通じてAまで始まる名前のために、このオフィス内のすべての項目を返します。」ということです。
どのテーブル構成はこのクエリのプロビジョニングスループットに最も低い影響をもたらしますか。
A. オフィス識別子のname属性の範囲索引、およびハッシュインデックスを持つテーブルを構成します。
B. オフィスの識別子属性のハッシュインデックスと範囲索引なしに構成します。
C. name属性のハッシュインデックスと範囲索引なしに構成します。
D. オフィス識別子のname属性のハッシュインデックス、および範囲索引を持つようにテーブルを構成します。
Answer: A

NEW QUESTION: 2
You need to process and query ingested Tier 9 data.
Which two options should you use? Each correct answer presents part of the solution.
NOTE: Each correct selection is worth one point.
A. Azure Stream Analytics
B. Azure Notification Hub
C. Azure Event Grid
D. Apache Kafka statements
E. Transact-SQL statements
F. Azure Cache for Redis
Answer: A,C
Explanation:
Explanation
Event Hubs provides a Kafka endpoint that can be used by your existing Kafka based applications as an alternative to running your own Kafka cluster.
You can stream data into Kafka-enabled Event Hubs and process it with Azure Stream Analytics, in the following steps:
* Create a Kafka enabled Event Hubs namespace.
* Create a Kafka client that sends messages to the event hub.
* Create a Stream Analytics job that copies data from the event hub into an Azure blob storage.
Scenario:

Tier 9 reporting must be moved to Event Hubs, queried, and persisted in the same Azure region as the company's main office References:
https://docs.microsoft.com/en-us/azure/event-hubs/event-hubs-kafka-stream-analytics

NEW QUESTION: 3
Which of the following aspects should be considered during preliminary analysis of a migration project?
(Choose three.)
A. Risks
B. Feasibility
C. Costs
D. Necessity
Answer: A,B,D