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NEW QUESTION: 1
Which three services should be running on a Windows server for an active IBM Tivoli Workload Scheduler fault-tolerant agent installed under the to twsuser account?
A. Tivoli Batchman (for <TWSuser>)
B. Tivoli Writer (for <TWSuser>)
C. Tivoli Netman (for <TWSuser>)
D. Tivoli Network (for <TWSuser>)
E. Tivoli Workload Scheduler (for <TWSuser>)
F. Tivoli Token Service (for <TWSuser>)
Answer: A,B,C

NEW QUESTION: 2
分類タスクを解決しています。
データセットが不均衡です。
あなたは、分類精度を向上させるためにAzureの機械学習Studioのモジュールを選択する必要があります。
あなたはどちらのモジュールを使用する必要がありますか？
A. フィルタに基づく機能の選択
B. の合成少数オーバーサンプリング技術（撃ち）
C. フィッシャー線形判別分析。
D. 順列機能の重要性
Answer: B
Explanation:
Explanation
Use the SMOTE module in Azure Machine Learning Studio (classic) 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.
You connect the SMOTE module to a dataset that is imbalanced. There are many reasons why a dataset might be imbalanced: the category you are targeting might be very rare in the population, or the data might simply be difficult to collect. Typically, you use SMOTE when the class you want to analyze is under-represented.
Reference:
https://docs.microsoft.com/en-us/azure/machine-learning/studio-module-reference/smote

NEW QUESTION: 3


Answer:
Explanation:

Explanation
https://docs.microsoft.com/en-us/azure/cdn/cdn-create-new-endpoint
https://docs.microsoft.com/en-us/azure/cdn/cdn-map-content-to-custom-domain