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NEW QUESTION: 1



Answer:
Explanation:

Explanation

NEW QUESTION: 2
You develop data engineering solutions for a company.
A project requires an in-memory batch data processing solution.
You need to provision an HDInsight cluster for batch processing of data on Microsoft Azure.
How should you complete the PowerShell segment? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.

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

NEW QUESTION: 3
企業には100を超えるAWSアカウントがあり、アカウントごとに1つのVPCがあり、インターネットへのアウトバウンドHTTPS接続が必要です。現在の設計には、各VPCのアベイラビリティーゾーン（AZ）ごとに1つのNATゲートウェイが含まれています。コストを削減し、アウトバウンドトラフィックに関する情報を取得するために、管理者はインターネットアクセスの新しいアーキテクチャを求めています。
現在のニーズを満たし、コストを削減しながら新しいアカウントがプロビジョニングされるにつれて成長し続けるソリューションはどれですか？
A. 中央VPCアカウントでプロキシフリートを作成します。中央VPCでAWS PrivateLinkエンドポイントサービスを作成します。プロキシフリートを介したインターネット接続にPrivateLinkインターフェイスを使用します。
B. 送信インターネットトラフィック用の中央VPCを作成します。 VPCピアリングを使用して、中央VPCの冗長NATゲートウェイのセットへのデフォルトルートを設定します。
C. サードパーティのルーティングアプライアンスを使用して、2つのAZに通過VPCを作成します。各VPCへのVPN接続を作成します。デフォルトのインターネットトラフィックを中継VPCにルーティングします。
D. 複数のホストプライベートAWS Direct Connect VIFを、アカウントごとに1つ作成し、それぞれにDirect Connectゲートウェイを設定します。デフォルトのインターネットトラフィックをオンプレミスルーターに戻し、インターネットにルーティングします。
Answer: C

NEW QUESTION: 4
You run the following code.

What will the value of the variable iResult be?
A. 0
B. 1
C. 2
D. 3
Answer: A

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