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NEW QUESTION: 1
Universal Containers（UC）が新しいカスタマーコミュニティで公開されました。 UCは、新しいビジネスチャンスが成約にマークされたときに、関連する連絡先のコミュニティユーザーを自動的に作成したいと考えています。
Community Cloudコンサルタントがこれを達成するために推奨するアプローチはどれですか？
次の1つ以上を選択します。
A. 商談に成約のマークが付けられたときに管理者にメールを送信して、ユーザーを作成できるようにします
B. ワークフロールールを使用して、ユーザーとなる連絡先のリストを含む管理者用のタスクを作成します
C. トリガーを使用して、アカウントのすべての関連する連絡先のコミュニティユーザーを作成します
D. 新しい連絡先をSalesforce管理者に通知するスケジュールレポートを使用します
Answer: C

NEW QUESTION: 2
You are analyzing a raw dataset that requires cleaning.
You must perform transformations and manipulations by using Azure Machine Learning Studio.
You need to identify the correct modules to perform the transformations.
Which modules should you choose? To answer, drag the appropriate modules to the correct scenarios. Each module may be used once, more than once, or not at all.
You may need to drag the split bar between panes or scroll to view content.
NOTE: Each correct selection is worth one point.

Answer:
Explanation:

Explanation:
Box 1: Clean Missing Data
Box 2: SMOTE
Use the SMOTE module in Azure Machine Learning Studio to increase the number of underepresented cases in a dataset used for machine learning. SMOTE is a better way of increasing the number of rare cases than simply duplicating existing cases.
Box 3: Convert to Indicator Values
Use the Convert to Indicator Values module in Azure Machine Learning Studio. The purpose of this module is to convert columns that contain categorical values into a series of binary indicator columns that can more easily be used as features in a machine learning model.
Box 4: Remove Duplicate Rows
References:
https://docs.microsoft.com/en-us/azure/machine-learning/studio-module-reference/smote
https://docs.microsoft.com/en-us/azure/machine-learning/studio-module-reference/convert-to-indicator-values

NEW QUESTION: 3
If you need to convey negative or controversial information, which channel should you consider first?
A. Paper-based
B. Face-to-face
C. Technology-based
Answer: B