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NEW QUESTION: 1
機械学習モデルを使用してインテリジェントなソリューションを構築しています。
環境は次の要件をサポートする必要があります。
*データサイエンティストはクラウド環境でノートブックを構築する必要がある
*データサイエンティストは、機械学習パイプラインで自動フィーチャエンジニアリングとモデル構築を使用する必要があります。
*動的なワーカー割り当てでSparkインスタンスを使用して再トレーニングするには、ノートブックを展開する必要があります。
*ノートブックは、ローカルでバージョン管理するためにエクスポート可能である必要があります。
環境を作成する必要があります。
どの4つのアクションを順番に実行する必要がありますか？回答するには、適切なアクションをアクションのリストから回答エリアに移動し、正しい順序に並べます。

Answer:
Explanation:

Explanation:
Step 1: Create an Azure HDInsight cluster to include the Apache Spark Mlib library Step 2: Install Microsot Machine Learning for Apache Spark You install AzureML on your Azure HDInsight cluster.
Microsoft Machine Learning for Apache Spark (MMLSpark) provides a number of deep learning and data science tools for Apache Spark, including seamless integration of Spark Machine Learning pipelines with Microsoft Cognitive Toolkit (CNTK) and OpenCV, enabling you to quickly create powerful, highly-scalable predictive and analytical models for large image and text datasets.
Step 3: Create and execute the Zeppelin notebooks on the cluster
Step 4: When the cluster is ready, export Zeppelin notebooks to a local environment.
Notebooks must be exportable to be version controlled locally.
References:
https://docs.microsoft.com/en-us/azure/hdinsight/spark/apache-spark-zeppelin-notebook
https://azuremlbuild.blob.core.windows.net/pysparkapi/intro.html

NEW QUESTION: 2
Which of the following can limit VM mobility in a host cluster based on architectural differences?
A. Switch
B. NIC
C. CPU
D. HBA
Answer: C

NEW QUESTION: 3
Which choice below is the BEST description of an Annualized Loss
Expectancy (ALE)?
A. The expected risk factor of an annual threat event, derived by multiplying the SLE by its ARO
B. An estimate of how often a given threat event may occur annually
C. The percentile of the value of the asset expected to be lost, used to calculate the SLE
D. A value determined by multiplying the value of the asset by its exposure factor
Answer: A
Explanation:
Answer "An estimate of how often a given threat event may occur annually" describes the Annualized Rate of Occurrence (ARO). Answer "The percentile of the value of the asset expected to be lost, used to calculate the SLE" describes the Exposure Factor (EF). Answer "A value determined by multiplying the value of the asset by its exposure factor" describes the algorithm to determine the Single Loss Expectancy (SLE) of a threat.

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