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NEW QUESTION: 1

Choose one:

A. Option C
B. Option B
C. Option D
D. Option A
Answer: B

NEW QUESTION: 2
チームデータサイエンス環境の構築を計画しています。機械学習パイプラインのトレーニングモデルのデータのサイズは20 GBを超えます。
次の要件があります。
*モデルはCaffe2またはChainerフレームワークを使用して構築する必要があります。
*データサイエンティストは、接続されたネットワーク環境と切断されたネットワーク環境の両方で、データサイエンス環境を使用して機械学習パイプラインを構築し、個人用デバイスでモデルをトレーニングできなければなりません。
*個人用デバイスは、ネットワークに接続するときに機械学習パイプラインの更新をサポートする必要があります。
データサイエンス環境を選択する必要があります。
どの環境を使用する必要がありますか？
A. Azure Machine Learning Service
B. Azure Machine Learning Studio
C. Azure Kubernetes Service（AKS）
D. Azure Databricks
Answer: A
Explanation:
説明
データサイエンス仮想マシン（DSVM）は、データサイエンスを行うために特別に構築されたMicrosoftのAzureクラウド上のカスタマイズされたVMイメージです。 Caffe2とChainerはDSVMでサポートされています。
DSVMはAzure Machine Learningと統合されます。

NEW QUESTION: 3
Which of the following CANNOT be debugged using the Field Watcher?
A. Business Rules
B. Client Scripts
C. Script Includes
D. Access Controls
Answer: C

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