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NEW QUESTION: 1
프로젝트 고객은 지속적으로 변경을 요청합니다. 프로젝트 관리자는 고객을 만족시키기 위해 변경 요청을 문서화하지 않고 변경 요청을 구현했습니다. 프로젝트 관리자는 자신의 프로젝트에 초과 비용이 발생했음을 깨달았습니다. 프로젝트 관리자가 비용 초과를 방지하기 위해 무엇을 할 수 있었습니까?
A. 변경 관리 계획
B. 시간 관리 계획
C. 프로젝트 관리 계획
D. 비용 관리 계획
Answer: A

NEW QUESTION: 2
You need to recommend an Office 365 integration solution.
What should you include in the recommendation?
A. The Active Directory Migration Tool (ADMT)
B. Windows Identity Foundation (WIF) 3.5
C. Active Directory directory synchronization
D. The Sync Framework Toolkit
Answer: C
Explanation:
* Scenario: Each office is configured as an Active Directory site.

NEW QUESTION: 3
Azure Machine Learning Studioで線形回帰モデルを開発しています。さまざまなアルゴリズムを比較する実験を実行します。
次の画像は、結果データセットの出力を示しています。

ドロップダウンメニューを使用して、画像に表示される情報に基づいて各質問に回答する回答の選択肢を選択します。
注：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。

Answer:
Explanation:

Explanation

Box 1: Boosted Decision Tree Regression
Mean absolute error (MAE) measures how close the predictions are to the actual outcomes; thus, a lower score is better.
Box 2:
Online Gradient Descent: If you want the algorithm to find the best parameters for you, set Create trainer mode option to Parameter Range. You can then specify multiple values for the algorithm to try.
References:
https://docs.microsoft.com/en-us/azure/machine-learning/studio-module-reference/evaluate-model
https://docs.microsoft.com/en-us/azure/machine-learning/studio-module-reference/linear-regression

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