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NEW QUESTION: 1
You are creating a SQL Server Integration Services (SSIS) package to retrieve product data from two different sources. One source is hosted in a SQL Azure database. Each source contains products for different distributors.
Products for each distributor source must be combined for insertion into a single product table destination.
You need to select the appropriate data flow transformation to meet this requirement.
Which two transformations can you use to achieve the goal? Each correct answer presents a complete solution.
A. Lookup
B. union All
C. Merge Join
D. Merge
E. Slowly Changing Dimension
F. pivot
G. Multicast
H. Term Extraction
Answer: B,D
Explanation:
Explanation/Reference:
Explanation:
D: The Union All transformation combines multiple inputs into one output. For example, the outputs from five different Flat File sources can be inputs to the Union All transformation and combined into one output.
E: The Merge transformation combines two sorted datasets into a single dataset. The rows from each dataset are inserted into the output based on values in their key columns.
By including the Merge transformation in a data flow, you can perform the following tasks:
* Merge data from two data sources, such as tables and files.
Etc.
Incorrect:
The other commands cannot be used to combine data from two different sources.
References:
https://docs.microsoft.com/en-us/sql/integration-services/data-flow/transformations/merge-transformation?
view=sql-server-2017
https://docs.microsoft.com/en-us/sql/integration-services/data-flow/transformations/union-all- transformation?view=sql-server-2017

NEW QUESTION: 2

A. Option D
B. Option C
C. Option A
D. Option E
E. Option B
Answer: C

NEW QUESTION: 3
When Proxy ARP is enabled on the WLAN infrastructure, ARP messages originating from the wired network are:
A. Sent upon initial power-up of the mobile device
B. Sent when the mobile device sends request to the wireless switch
C. Always sent to the mobile device
D. Never sent to the mobile device
Answer: D

NEW QUESTION: 4
Microsoft Azureで新しいLambdaアーキテクチャを設計しています。
リアルタイム処理レイヤーは、次の要件を満たしている必要があります。
摂取:
1秒あたり数百万のイベントを受信する
完全に管理されたPlatform-as-a-Service(PaaS)ソリューションとして機能する
Azure Functionsと統合する
ストリーム処理:
ジョブごとに処理する
Azureサービスとのシームレスな接続を提供する
SQLベースのクエリ言語を使用する
分析データストア:
マネージドサービスとして機能する
ドキュメントストアを使用する
保管中のデータ暗号化を提供する
最小限の労力でLambdaアーキテクチャを構築するには、正しいテクノロジーを特定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?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:
ボックス1:Azure Event Hubs
ストリーミングアーキテクチャのこの部分は、多くの場合、ストリームバッファリングと呼ばれます。オプションには、Azure Event Hubs、Azure IoT Hub、Kafkaが含まれます。
不正解:HDInsight Kafkaではありません
Azure Functionsを実行するには、トリガーを定義する必要があります。サポートされているトリガータイプのセットは限られていますが、Kafkaはそれらの1つではありません。
ボックス2:Azure Stream Analytics
Azure Stream Analyticsは、無制限のストリームで動作する永続的に実行されるSQLクエリに基づくマネージドストリーム処理サービスを提供します。
HDInsightクラスターでは、StormやSpark StreamingなどのオープンソースApacheストリーミングテクノロジーを使用することもできます。
ボックス3:Azure SQL Data Warehouse
Azure SQL Data Warehouseは、大規模なクラウドベースのデータウェアハウジング向けのマネージドサービスを提供します。 HDInsightは、Interactive Hive、HBase、およびSpark SQLをサポートしています。これらは、分析用のデータの提供にも使用できます。
参照:
https://docs.microsoft.com/en-us/azure/architecture/data-guide/big-data/



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