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NEW QUESTION: 1
What does the <instaii homeVCTG_DE\acsi\bin\iistiu command do?
A. displays the installed Maximo V7.5 components, from the Deployment Engine view
B. displays the installed Maximo V7.5 and middleware installer installed components, from the Deployment Engine view
C. displays the installed Maximo V7.5 components, from the Maximo System Information view
D. displays the installed Maximo V7.5 and middleware components, from the Maximo System Information view
Answer: B
NEW QUESTION: 2
ドラッグドロップ
Pythonプログラムを書いています。このプログラムは顧客データを収集し、データベースに保存します。
このプログラムは、さまざまなデータを処理します。
データベースに正しく保存できるように、プログラムがデータを正しく処理することを確認する必要があります。
データ型をコードセグメントに一致させます。答えるには、適切なデータ型を左側の列から右側のコードセグメントにドラッグします。各データ型は、1回以上使用することも、まったく使用しないこともできます。
Answer:
Explanation:
参照：
https://www.w3resource.com/python/python-data-type.php
NEW QUESTION: 3
モジュールベースのプランタイプと一緒にASOプランタイプを使用する場合、どの2つのクライアント要件が一致しますか？ （2つ選択してください。）
A. クライアントは、レポート目的で10年間の実績履歴を保存したいが、計画目的でのみ前年度の履歴が必要です。
B. クライアントは、製品とサービスのディメンション別に収益を計画したいと考えています。
C. 次元が少ないため、アプリケーションでの集計時間が遅くなります。
D. クライアントはアプリケーションに10のディメンションを持ち、各交差点でレポートする必要があります。
E. クライアントは、エンティティによる割り当てプロセスの結果を報告したいと考えています。
Answer: C,D
Explanation:
Reference:
https://www.oracle.com/webfolder/technetwork/tutorials/obe/hyp/CreateASOReportingCube-1112/ CreateASOReportingCube-1112.htm
NEW QUESTION: 4
A Data Scientist is developing a machine learning model to predict future patient outcomes based on information collected about each patient and their treatment plans. The model should output a continuous value as its prediction. The data available includes labeled outcomes for a set of 4,000 patients. The study was conducted on a group of individuals over the age of 65 who have a particular disease that is known to worsen with age.
Initial models have performed poorly. While reviewing the underlying data, the Data Scientist notices that, out of 4,000 patient observations, there are 450 where the patient age has been input as 0. The other features for these observations appear normal compared to the rest of the sample population.
How should the Data Scientist correct this issue?
A. Drop the age feature from the dataset and train the model using the rest of the features.
B. Replace the age field value for records with a value of 0 with the mean or median value from the dataset.
C. Drop all records from the dataset where age has been set to 0.
D. Use k-means clustering to handle missing features.
Answer: C