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NEW QUESTION: 1
Note: This question is part of a series of questions that present the same scenario. Each question in the series contains
a unique solution. Determine whether the solution meets the stated goals.
You have an Office 365 subscription. All user mailboxes have an archive mailbox.
A new compliance policy has the following requirements:
You create two default policy tags and one retention policy.
You need to implement the compliance policy.
Solution: You run the Set-Mailbox cmdlet and specify the -RetentionPolicy parameter.
Does this meet the goal?
A. Yes
B. No
Answer: A
Explanation:
The Set-Mailbox -RetentionPolicy parameter specifies the retention policy that you want applied to this mailbox.
Retention policies consist of tags that are applied to mailbox folders and mail items to determine the period of time
that the items should be retained.
References:
https://technet.microsoft.com/en-us/library/bb123981(v=exchg.1601.aspx

NEW QUESTION: 2
Which option is a valid test scenario to verify that Cisco Unified Communications Manager failover works and endpoints register with the backup call manager?
A. During a predetermined maintenance window, stop the TFTP service on the primary call manager. Devices should reregister with the backup Unified CM in the Cisco CallManager Group.
B. During a predetermined maintenance window, stop the Cisco IP Phone Services service on the primary Unified CM.
Devices should reregister with the backup Unified CM in the Cisco CallManager Group.
C. During a predetermined maintenance window, stop the Unified CM service on the Publisher. Devices should reregister with the backup Publisher in the Cisco CallManager Group.
D. During a predetermined maintenance window, stop the Unified CM service on the primary call manager. Devices should reregister with the backup Unified CM in the CallManager Group.
Answer: D

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 hidden nodes
B. The type of the normalizer
C. Hidden layer specification
D. Number of learning iterations
E. Learning Rate
Answer: C,D
Explanation:
説明
D：学習反復回数に、アルゴリズムがトレーニングケースを処理する最大回数を指定します。
E：非表示層の仕様では、作成するネットワークアーキテクチャのタイプを選択します。
入力レイヤーと出力レイヤーの間に、複数の非表示レイヤーを挿入できます。ほとんどの予測タスクは、1つまたはいくつかの隠されたレイヤーだけで簡単に実行できます。
参照：
https://docs.microsoft.com/en-us/azure/machine-learning/studio-module-reference/two-class-neural-network