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NEW QUESTION: 1
組織がELBでAuto Scalingを設定しています。アプリケーションにメモリの問題があるため、CPU使用率が90％を超えています。 CPU使用率が高くなると、スケーリングポリシーに従ってAuto Scalingのイベントがトリガーされます。ユーザーがスケーリングアクティビティをトリガーせずにアプリケーション内の根本原因を見つけたい場合、どのようにこれを達成できますか？
A. 調査が完了するまでAuto Scalingを削除します
B. 調査が完了するまでスケーリングプロセスを停止します
C. 調査が完了するまでスケーリングプロセスを一時停止する
D. スケーリングをトリガーせずにそのインスタンスから根本原因を見つけることはできません
Answer: C
Explanation:
説明
Auto Scalingを使用すると、ユーザーはAuto Scalingグループ内の1つ以上のAuto Scalingプロセスを一時停止してから再開できます。これは、ユーザーが設定の問題やその他の問題（Webアプリケーションのメモリリークなど）を調査し、Auto Scalingプロセスをトリガーせずにアプリケーションを変更する場合に非常に便利です。
NEW QUESTION: 2
You have a query as shown in the following exhibit.
You need to ensure that the data only contains rows that have a valid date.
Which three actions should you perform in sequence? To answer, move the appropriate actions from the list of actions to the answer are in the correct order.
Answer:
Explanation:
Explanation
Change the column type of the Date Column
Group rows by the Date column
Remove errors from the date column.
NEW QUESTION: 3
DRAG DROP
The evident family of monitoring products includes three applications: PreVideo, VQInsider, and RVMon. The pricing for each application is based on a different parameter. Match each of these applications with the parameter used for pricing.
Answer:
Explanation:
Explanation:
NEW QUESTION: 4
HOTSPOT
Note: This question is part of a series of questions that use the same scenario. For your convenience, the scenario is repeated in each question. Each question presents a different goal and answer choices, but the text of the scenario is exactly the same in each question in this series.
Start of repeated scenario
You are developing a Microsoft R Open solution that will leverage the computing power of the database server for some of your datasets.
You are performing feature engineering and data preparation for the datasets.
The following is a sample of the dataset.
End of repeated scenario
You plan to score some data to create data features to address empty rows.
You have the following R code.
You need to transform the data and overwrite the current dataset.
Which R code segment should you use? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.
Answer:
Explanation: