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NEW QUESTION: 1
注：この質問は、同じシナリオを使用する一連の質問の一部です。 あなたの便宜のために、シナリオは各質問で繰り返されます。 各質問はそれぞれ異なる目標と答えの選択を提示しますが、シナリオの本文はこのシリーズの各質問でまったく同じです。
繰り返しシナリオの開始
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Site1という名前の単一サイトが含まれています。 すべてのコンピュータはSite1にあります。
ドメインのグループポリシーオブジェクト（GPO）は、図のように構成されています。 （展示ボタンをクリックしてください。）
ドメイン内の関連ユーザーとクライアントコンピュータは、次の表に示すように構成されています。
繰り返しのシナリオが終了しました。
A6のGPOリンクを強制する予定です。
リンクが適用された後にユーザーがComputer1にサインインすると、どの5つのGPOがUser1に順番に適用されますか？ 回答するには、適切なGPOをGPOの一覧から回答領域に移動して、正しい順序で配置します。
Answer:
Explanation:
Explanation
NEW QUESTION: 2
人、チーム、組織単位の動作に関する情報を提供するものは何ですか？
A. 組織図
B. 組織構造
C. 組織の行動
D. 組織理論
Answer: D
NEW QUESTION: 3
Your company develops a bot that uses QnA Maker knowledge bases and Language Understanding Intelligence Services (LUIS). You create the QnA Maker service, knowledge bases, and the LUIS app.
The bot application must use LUIS to determine which QnA Maker knowledge base to use.
You need to integrate LUIS with the QnA Maker knowledge bases and maximize the effectiveness for selecting the QnA Maker knowledge bases before testing the bot.
Which four actions should you perform in sequence? To answer, move the appropriate actions from the list of actions to the answer area and arrange them in the correct order.
Answer:
Explanation:
NEW QUESTION: 4
イベント中のコール数を推定する回帰モデルを構築しています。
特徴値がポアソン回帰モデルを構築する条件を満たしているかどうかを判断する必要があります。
機能セットに含める必要がある2つの条件はどれですか？私は正しい答えが解決策の一部を提示します。注意：
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. ラベルデータは負の値でなければなりません。
B. ラベルデータは正の値である必要があります
C. ラベルデータは正でも負でもかまいませんが、
D. データは整数でなければなりません。
E. ラベルデータは非離散でなければなりません。
Answer: B,D
Explanation:
Poisson regression is intended for use in regression models that are used to predict numeric values, typically counts. Therefore, you should use this module to create your regression model only if the values you are trying to predict fit the following conditions:
The response variable has a Poisson distribution.
Counts cannot be negative. The method will fail outright if you attempt to use it with negative labels.
A Poisson distribution is a discrete distribution; therefore, it is not meaningful to use this method with non-whole numbers.
References:
https://docs.microsoft.com/en-us/azure/machine-learning/studio-module-reference/poisson-regression