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NEW QUESTION: 1
Your network contains an Active Directory domain named contoso.com. The domain contains a server named Server1 that runs Windows Server 2016 and a computer named Computer1 that runs Windows 10.
Server1 contains a share named Backup. All users can read and write data in Backup.
On Monday at 13:00, you configure Backup and Restore (Windows 7) on Computer1 to use the following settings:
* Backup Destination:\\Server1\Backup
* What do you want to back up?:Local Disk (D:), Include a system image of drives: System Reserved, (C:)
* Schedule: Daily at 23:00
You need to identify how many backups will be available on Thursday at 17:00.
What should you identify? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.

Answer:
Explanation:

Explanation

References:
https://www.windowscentral.com/how-make-full-backup-windows-10#create_system_image_windows10https://

NEW QUESTION: 2
Kubernetesは？
A. ソフトウェアをコンテナにパッケージ化する
B. コンテナの実行とスケジューリング
C. コンテナ用のプロビジョニングマシン
D. コンテナの構築と出荷
Answer: B

NEW QUESTION: 3
Azure Machine Learning Studioの2クラスニューラルネットワークモジュールを使用して、バイナリ分類モデルを構築します。 Tune Model Hyperparametersモジュールを使用して、モデルの精度を調整します。
Tune Model Hyperparametersモジュールを使用して、調整する必要があるハイパーパラメーターを選択する必要があります。
どの2つのハイパーパラメーターを使用する必要がありますか？それぞれの正解はソリューションの一部を示しています。
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. Number of learning iterations
B. Number of hidden nodes
C. The type of the normalizer
D. Hidden layer specification
E. Learning Rate
Answer: A,D
Explanation:
D: For Number of learning iterations, specify the maximum number of times the algorithm should process the training cases.
E: For Hidden layer specification, select the type of network architecture to create.
Between the input and output layers you can insert multiple hidden layers. Most predictive tasks can be accomplished easily with only one or a few hidden layers.
References:
https://docs.microsoft.com/en-us/azure/machine-learning/studio-module-reference/two-class-neural-network