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NEW QUESTION: 1
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 Kubernetes Service（AKS）
C. Azure Machine Learning Studio
D. Azure Databricks
Answer: A
Explanation:
Explanation
The Data Science Virtual Machine (DSVM) is a customized VM image on Microsoft's Azure cloud built specifically for doing data science. Caffe2 and Chainer are supported by DSVM.
DSVM integrates with Azure Machine Learning.

NEW QUESTION: 2

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

NEW QUESTION: 3
A GIS technician is working on updating the zoning map fortheir region. They have been provided with a polygon feature class with a field that shows the current zoning classification.
Which type of symbolization should the technician use?
A. Graduated Colors
B. Single Symbol
C. Unique Symbols
Answer: A