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NEW QUESTION: 1
TensorFlowを使用してディープラーニングモデルを開発しています。 Azure Machine Learning Computeインスタンスでモデルトレーニングワークロードを実行する予定です。
CUDAベースのモデルトレーニングを使用する必要があります。
コンピューティングインスタンスをプロビジョニングする必要があります。
どの2つの仮想マシンサイズを使用できますか？回答するには、回答領域で適切な仮想マシンのサイズを選択します。
注：それぞれの正しい選択は1ポイントの価値があります。

Answer:
Explanation:

Explanation:
CUDA is a parallel computing platform and programming model developed by Nvidia for general computing on its own GPUs (graphics processing units). CUDA enables developers to speed up compute-intensive applications by harnessing the power of GPUs for the parallelizable part of the computation.
Reference:
https://www.infoworld.com/article/3299703/what-is-cuda-parallel-programming-for-gpus.html

NEW QUESTION: 2
You can use our COPY command to load data in parallel directly to Amazon Redshift from Amazon EMR, Amazon DynamoDB, or any SSH-enabled host.
Choose the correct answer:
A. True
B. False
Answer: A
Explanation:
You can use our COPY command to load data in parallel directly to Amazon Redshift from Amazon EMR, Amazon DynamoDB, or any SSH-enabled host Reference:
https://aws.amazon.com/redshift/faqs/

NEW QUESTION: 3
フレームリレーポイントツーポイントサブインターフェイスの2つの特徴は何ですか？ （2つ選択してください。）
A. ルーティングドメイン内に一意のサブネットが必要です。
B. フルメッシュトポロジに最​​適です。
C. OSPFを使用する場合、NBMAオプションを使用する必要があります。
D. スプリットホライズンの問題が発生します。
E. 専用回線をエミュレートします。
Answer: A,E
Explanation:
サブインターフェイスは、ポイントツーポイントのフレームリレー接続に使用され、仮想ポイントツーポイントの専用回線をエミュレートします。各サブインターフェイスには、一意のIPアドレス/サブネットが必要です。同じIPサブネットに属するルーターの複数のインターフェイスを割り当てることはできません。