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NEW QUESTION: 1
If the volume of a cube is x3 cubic units, what is the number of square units in the surface area of the cube?
A. x6
B. x3
C. x2
D. 6x2
E. 6x3
Answer: D
Explanation:
Explanation/Reference:
Explanation:
If the volume of the cube is x3, then one edge of the cube is x. The surface area of a cube is six times the area of one face, which is x times x. The total surface area is 6x2.

NEW QUESTION: 2
ネットワークにcontoso.comという名前のActive Directoryドメインが含まれています。 ドメインには、Windows Server 2016を実行するサーバーとWindows 10を実行するクライアントコンピューターが含まれています。コンピューターとサーバーの命名規則は矛盾しています。
GPO1という名前のグループポリシーオブジェクト（GPO）を作成し、GPO1をドメインにリンクすることを計画しています。 GPO1には、カスタムグループポリシー基本設定が含まれます。
GPO1の基本設定がメンバサーバーにのみ適用されるようにする必要があります。 GPO1はドメインコントローラーまたはクライアントコンピューターには適用できません。
どの種類のアイテムレベルのターゲティングを使用する必要がありますか。
A. 処理モード
B. ドメイン
C. セキュリティグループ
D. オペレーティングシステム
E. 環境変数
Answer: C
Explanation:
References:
https://docs.microsoft.com/en-us/previous-versions/windows/it-pro/windows-server-2008-R2-and-2008/cc733022
https://docs.microsoft.com/en-us/previous-versions/windows/it-pro/windows-server-2008-R2-and-2008/cc753566(v=ws.10)

NEW QUESTION: 3
In iOS, which of the following settings would need to be configured for ActiveSync?
A. Phone & Messages
B. Music & Videos
C. Notifications & Location Services
D. Mail, Contacts, & Calendars
Answer: D

NEW QUESTION: 4
自動機械学習ユーザーインターフェイス（UI）を使用して、機械学習モデルを構築します。
モデルが責任あるAIに関するMicrosoftの透明性の原則を満たしていることを確認する必要があります。
あなたは何をするべきか？
A. 最大同時反復回数を0に設定します。
B. プライマリメトリックを精度に設定します。
C. Explain bestmodelを有効にします。
D. 検証タイプを自動に設定します。
Answer: C
Explanation:
Explanation
Model Explain Ability.
Most businesses run on trust and being able to open the ML "black box" helps build transparency and trust. In heavily regulated industries like healthcare and banking, it is critical to comply with regulations and best practices. One key aspect of this is understanding the relationship between input variables (features) and model output. Knowing both the magnitude and direction of the impact each feature (feature importance) has on the predicted value helps better understand and explain the model. With model explain ability, we enable you to understand feature importance as part of automated ML runs.
Reference:
https://azure.microsoft.com/en-us/blog/new-automated-machine-learning-capabilities-in-azure-machine-learning