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NEW QUESTION: 1
Azure Machine Learningワークスペースを作成し、開発環境をセットアップします。 Tensorflowフレームワークを使用し、推定器を使用してトレーニングスクリプトを送信することにより、ディープニューラルネットワーク（DNN）をトレーニングする予定です。
トレーニング実行の計算速度を最適化する必要があります。
使用する適切な推定量と、適切なトレーニングコンピューティングターゲット構成を選択する必要があります。
どの値を使用する必要がありますか？回答するには、回答領域で適切なオプションを選択します。
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:
Box 1: Tensorflow
TensorFlow represents an estimator for training in TensorFlow experiments.
Box 2: 12 vCPU, 112 GB memory..,2 GPU,..
Use GPUs for the deep neural network.
Reference:
https://docs.microsoft.com/en-us/python/api/azureml-train-core/azureml.train.dnn
NEW QUESTION: 2
After running the calculate accrual process, you notice that 100 employees' balances have not been updated despite the process running to a successful status. Your customer has requested that the process should fail if any employee is in error.
What absence batch parameter should you decrease to achieve this requirement?
A. Maximum Errors
B. Chunk Size
C. Minimum Errors
D. Thread Count
E. Thread Size
F. Errors
G. Total Threads
Answer: A,B,G
NEW QUESTION: 3
A. HIPS
B. HMAC
C. IKE
D. PIX
E. NIDS
Answer: E