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NEW QUESTION: 1
In which sequence can you influence the billing activities in Expert mode?
A. Define billing units. Aggregate billable items. Select billing units.
B. Select billable items. Group billable items into billing units. Aggregate billable items.
C. Define billable items. Select billable units. Aggregate billable items.
D. Aggregate billable items into billing units. Select billing units. Group billing units into billing documents.
Answer: B

NEW QUESTION: 2
A user has created a ##S variable called Netincome for net income in the Statement of Operation object. In a separate Excel object, ##D was used to retrieve the number. However, after saving the object, the ##D value is not populated. What are three reasons why this is happening? (Choose three.)
A. ##s and ##d were used.
B. ##D is placed within the ##RS/##RE range.
C. The user did not refresh data.
D. ##D Netincome was used.
E. ##S Netincome was used at the source.
Answer: A,B,C

NEW QUESTION: 3
Azure Machine Learning Studioで多重線形回帰モデルを作成しています。
いくつかの独立変数は高度に相関しています。
すべてのデータに対して効果的な特徴エンジニアリングを行うための適切な方法を選択する必要があります。
どの3つのアクションを順番に実行する必要がありますか？回答するには、適切なアクションをアクションのリストから回答領域に移動し、正しい順序に並べます。

Answer:
Explanation:

Explanation

Step 1: Use the Filter Based Feature Selection module
Filter Based Feature Selection identifies the features in a dataset with the greatest predictive power.
The module outputs a dataset that contains the best feature columns, as ranked by predictive power. It also outputs the names of the features and their scores from the selected metric.
Step 2: Build a counting transform
A counting transform creates a transformation that turns count tables into features, so that you can apply the transformation to multiple datasets.
Step 3: Test the hypothesis using t-Test
References:
https://docs.microsoft.com/bs-latn-ba/azure/machine-learning/studio-module-reference/filter-based-feature-selec
https://docs.microsoft.com/en-us/azure/machine-learning/studio-module-reference/build-counting-transform

NEW QUESTION: 4
Welches dieser Diagramme zeigt Bedingungen, die ausreichen würden, um OCAP für den Prozess zu aktivieren?
A. Zeitreihendiagramm
B. Xbar-Diagramm
C. Weder noch
D. Beides
Answer: B