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NEW QUESTION: 1
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
NEW QUESTION: 2
オペレーティングシステムのリソースを共有して使用するオペレーティングシステム内で実行されるコード実行環境とは何ですか？
A. 抽象化
B. プラットフォームベースのワークロード
C. コンテナー
D. 仮想マシン
E. ポッド
Answer: C
NEW QUESTION: 3
Which feature can be used in the Cisco Nexus 7000 to create a snapshot of the current configuration?
A. Cisco FabricPath
B. vPC
C. Rollback
D. HSRP
Answer: C
NEW QUESTION: 4
A user has setup a custom application which generates a number in decimals. The user wants to track
that number and setup the alarm whenever the number is above a certain limit. The application is sending
the data to CloudWatch at regular intervals for this purpose. Which of the below mentioned statements is
not true with respect to the above scenario?
A. The user can create a file in the JSON format with the metric name and value and supply it to
CloudWatch
B. The user has to supply the timezone with each data point
C. CloudWatch will not truncate the number until it has an exponent larger than 126 (i.e. (1 x 10