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NEW QUESTION: 1
ある会社は、カスタマーサービスコールセンターソリューションの特定のセクションを自動化することを計画しています。
よくある質問に対する回答を提供するために、会社のWebサイトで使用できるボットを作成する必要があります（FAQ）。 QnA MakerでAzure Bot Serviceを使用して、既存のFAQを含むボットを作成する必要があります。
あなたはボットをテストする必要があります。
この目標を達成するための2つの方法は何ですか？正解はそれぞれ完全な解決策を提示します。
注：それぞれ正しい選択は1ポイントの価値があります。
A. ngrok
B. Bot Framework Emulator
C. AzureポータルのWebチャット
D. MSボット
Answer: B,C

NEW QUESTION: 2
Which of the following contributes to increased read access performance on a fibre channel
SAN?
A. Zoning
B. Caching
C. QoS
D. Clustered storage
Answer: B

NEW QUESTION: 3
会社のデータエンジニアリングソリューションを開発します。
プロジェクトには、メモリ内のバッチデータ処理ソリューションが必要です。
Microsoft Azureでデータをバッチ処理するためにHDInsightクラスターをプロビジョニングする必要があります。
PowerShellセグメントをどのように完成させ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

Box 1: New-AzStorageContainer
# Example: Create a blob container. This holds the default data store for the cluster.
New-AzStorageContainer `
-Name $clusterName `
-Context $defaultStorageContext
$sparkConfig = New-Object "System.Collections.Generic.Dictionary``2[System.String,System.String]"
$sparkConfig.Add("spark", "2.3")
Box 2: Spark
Spark provides primitives for in-memory cluster computing. A Spark job can load and cache data into memory and query it repeatedly. In-memory computing is much faster than disk-based applications than disk-based applications, such as Hadoop, which shares data through Hadoop distributed file system (HDFS).
Box 3: New-AzureRMHDInsightCluster
# Create the HDInsight cluster. Example:
New-AzHDInsightCluster `
-ResourceGroupName $resourceGroupName `
-ClusterName $clusterName `
-Location $location `
-ClusterSizeInNodes $clusterSizeInNodes `
-ClusterType $"Spark" `
-OSType "Linux" `
Box 4: Spark
HDInsight is a managed Hadoop service. Use it deploy and manage Hadoop clusters in Azure. For batch processing, you can use Spark, Hive, Hive LLAP, MapReduce.
References:
https://docs.microsoft.com/bs-latn-ba/azure/hdinsight/spark/apache-spark-jupyter-spark-sql-use-powershell
https://docs.microsoft.com/bs-latn-ba/azure/hdinsight/spark/apache-spark-overview