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NEW QUESTION: 1
DRAG DROP


Answer:
Explanation:

NEW QUESTION: 2
To help ensure the success of a major IT project, it is MOST important to:
A. update the risk register on a regular basis
B. obtain the appropriate stakeholders' commitment
C. obtain approval from business process owners
D. align it with the organization's strategic plan
Answer: B

NEW QUESTION: 3
リード変換時に、リードオブジェクトカスタムフィールドをどのオブジェクトカスタムフィールドにマップできませんか？
A. アカウント
B. 連絡先
C. 機会
D. ケース
Answer: D

NEW QUESTION: 4
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:

説明

手順1：Azure HDInsightクラスターを作成してApache Spark Mlibライブラリを含める手順2：Apache SparkのMicrosot Machine LearningをインストールするAzure HDInsightクラスターにAzureMLをインストールします。
Microsoft Machine Learning for Apache Spark（MMLSpark）は、Spark Machine LearningパイプラインとMicrosoft Cognitive Toolkit（CNTK）およびOpenCVとのシームレスな統合を含む、Apache Sparkの多数の深層学習およびデータサイエンスツールを提供し、強力で高度な大規模な画像およびテキストデータセット用のスケーラブルな予測および分析モデル。
ステップ3：クラスターでZeppelinノートブックを作成して実行する
ステップ4：クラスターの準備ができたら、Zeppelinノートブックをローカル環境にエクスポートします。
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。
参照：
https://docs.microsoft.com/en-us/azure/hdinsight/spark/apache-spark-zeppelin-notebook
https://azuremlbuild.blob.core.windows.net/pysparkapi/intro.html