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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
Which of the following are standard AMD processor socket types? (Select TWO).
A. 0
B. 1
C. F
D. LGA
E. 2
Answer: A,C
NEW QUESTION: 3
A. Option C
B. Option E
C. Option D
D. Option B
E. Option A
Answer: C
Explanation:
Ping was successful form host B to other hosts because of intervlan routing configured on router.
But to manage switch via telnet the VLAN32 on the switch needs to be configured interface vlan32
along with ip address and its appropriate default-gateway address.
Since VLAN1 interface is already configure on switch Host A was able to telnet switch.
NEW QUESTION: 4
DRAG DROP
You are tasked with creating a network that will accomplish the following requirements Requirements:
1) The remote sales team must be able to connect to the corporate network
2) Each department must have ONLY two PCs and a server
3) Each department must be segmented from each other
4) The following VLANs have been designated:
a) VLAN 2- Finance
b) VLAN 12- Sales
c) VLAN 22- Human Resources (HR)
Complete the network by dragging the required objects into the diagram
INSTRUCTIONS: Objects can be used multiple times and not all placeholders need to be filled
Answer:
Explanation:
Explanation