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NEW QUESTION: 1
The following statements are about carve-out programs. Three of these statements are true, and one statement is false. Select the answer choice containing the FALSE statement.
A. Typically, a health plan will offer carved-out services to its enrollees, but will manage these services separately.
B. The most rapidly growing area related to carve-outs is disease management (DM).
C. Carve-outs are services that are excluded from a capitation payment, a risk pool, or a health benefit plan.
D. In the type of carve-out in which entire categories of care are administered by independent organizations, a health plan typically reimburses these organizations under an FFS contract.
Answer: D

NEW QUESTION: 2
In the "Video" function of NetEco, you can perform operations such as (). (Multiple Choice)
A. Modify the camera
B. Video live browsing
C. Delete the camera
D. Create a camera
Answer: A,B,C,D

NEW QUESTION: 3
Noahは、部下全員が毎日午後6時に何件のケースとクローズを表示するレポートを必要としています。これをどのように構成できますか？
A. 単一のダッシュボードを使用してクロスフィルターを適用する
B. 分析スナップショットで単一のダッシュボードを使用する
C. すべての部下に動的ダッシュボードを使用する
D. 動的ダッシュボードを使用して、各個人を指定します
Answer: B

NEW QUESTION: 4
注：この質問は、同じシナリオを提示する一連の質問の一部です。シリーズの各質問には、記載された目標を達成する可能性のある独自のソリューションが含まれています。一部の質問セットには複数の正しい解決策がある場合もあれば、正しい解決策がない場合もあります。
このセクションの質問に回答すると、その質問に戻ることはできません。その結果、これらの質問はレビュー画面に表示されません。
あなたはAzure Machine Learning Studioを使用しているデータサイエンティストです。
ターゲット列を予測するには、値を正規化して出力列をビンに生成する必要があります。
解決策：ビニングモードをカスタムの開始および停止モードで等幅に適用します。
ソリューションは目標を達成していますか？
A. いいえ
B. はい
Answer: A
Explanation:
Use the Entropy MDL binning mode which has a target column.
References:
https://docs.microsoft.com/en-us/azure/machine-learning/studio-module-reference/group-data-into-bins