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NEW QUESTION: 1
SAP HANAに合わせたデータセンター統合セットアップのサイジングの3つの主なステップは何ですか？
この質問には3つの正解があります。
応答：
A. クエリと計算のCPUサイジング
B. スマートデータアクセスのCPUサイジング
C. 静的データと動的データのRAMサイズ
D. 永続ストレージのディスクサイズ
E. HWCCTのRAMサイジング
Answer: A,C,D

NEW QUESTION: 2

Refer to the exhibit. Client 1 cannot communicate with Client 2. Both clients are using Cisco AnyConnect and have established a successful SSL VPN connection to the hub ASA. Which command on the ASA is missing?
A. same-security-traffic permit inter-interface
B. same-security-traffic permit intra-interface
C. dns-server value 10.1.1.3
D. split-tunnel-network list
Answer: B

NEW QUESTION: 3
You have an Azure event hub named retailhub that has 16 partitions. Transactions are posted to retailhub.
Each transaction includes the transaction ID, the individual line items, and the payment details. The transaction ID is used as the partition key.
You are designing an Azure Stream Analytics job to identify potentially fraudulent transactions at a retail store. The job will use retailhub as the input. The job will output the transaction ID, the individual line items, the payment details, a fraud score, and a fraud indicator.
You plan to send the output to an Azure event hub named fraudhub.
You need to ensure that the fraud detection solution is highly scalable and processes transactions as quickly as possible.
How should you structure the output of the Stream Analytics job? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.

Answer:
Explanation:
Explanation

Box 1: 16
For Event Hubs you need to set the partition key explicitly.
An embarrassingly parallel job is the most scalable scenario in Azure Stream Analytics. It connects one partition of the input to one instance of the query to one partition of the output.
Box 2: Transaction ID
Reference:
https://docs.microsoft.com/en-us/azure/event-hubs/event-hubs-features#partitions