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NEW QUESTION: 1
エンジニアは、2つのサイト間のバックアップ接続を提供するソリューションを設計する必要があります。エンジニアはインターネット接続を使用することを計画していますが、会社のポリシーでは接続を暗号化する必要があります。さらに、マルチキャストを利用してサイト間でビデオストリームを配信するアプリケーションがいくつかあります。設計にはどのテクノロジーを含める必要がありますか？
A. IPsec直接カプセル化
B. DMVPN
C. GRE over IPsec
D. GETVPN
Answer: C

NEW QUESTION: 2
How can software determine the public and private IP addresses of the Amazon EC2 instance that it is running on?
A. Query the local instance userdata.
B. Query the appropriate Amazon CloudWatch metric.
C. Use ipconfig or ifconfig command.
D. Query the local instance metadata.
Answer: B

NEW QUESTION: 3
DRAG DROP
You administer two virtual machines (VMs) that are deployed to a cloud service. The VMs are part of a virtual network.
The cloud service monitor and virtual network configuration are configured as shown in the exhibits. (Click the Exhibits button.)


You need to create an internal load balancer named fabLoadBalancer that has a static IP address of
172.16.0.100.
Which value should you use in each parameter of the Power Shell command?
To answer, drag the appropriate value to the correct location in the Power Shell command. Each value may be used once, more than once, or not at all. You may need to drag the split bar between panes or scroll to view content.

Answer:
Explanation:

Explanation

NEW QUESTION: 4
あなたは、画像分類のための深い畳み込みニューラルネットワーク（CNN）を構築するデータサイエンティストです。
構築したCNNモデルは、過剰適合の兆候を示しています。
過剰適合を減らし、モデルを最適な適合に収束させる必要があります。
実行すべき2つのアクションはどれですか？それぞれの正解は完全な解決策を提示します。
注：それぞれの正しい選択には1ポイントの価値があります。
A. 64の入力ユニットを持つ追加の高密度レイヤーを追加します
B. トレーニングデータの量を減らします。
C. L1 / L2正則化を追加します。
D. トレーニングデータの増強を使用する
E. 512入力単位の追加の高密度レイヤーを追加します。
Answer: B,C
Explanation:
Explanation
References:
https://machinelearningmastery.com/how-to-reduce-overfitting-in-deep-learning-with-weight-regularization/
https://en.wikipedia.org/wiki/Convolutional_neural_network