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NEW QUESTION: 1
インシデントレスポンスに影響を与えるクラウドコンピューティングの特徴ではないものは次のうちどれですか。
A. クラウドインフラストラクチャによって提供される迅速な弾力性に加えて、クラウドサービスによって実行されるリソースプーリング。
B. クラウドコンピューティング環境のオンデマンドセルフサービスの性質。
C. 地理的または管轄の境界を超えるデータの可能性。
D. インシデントに関連するテレメトリとアーティファクトの収集と分析に関するコテナントのプライバシーの懸念。
E. プライベートクラウド内のオブジェクトベースのストレージ。
Answer: D

NEW QUESTION: 2

A. Option A
B. Option C
C. Option D
D. Option B
Answer: D

NEW QUESTION: 3

A. http://litware.com/owa/healthcheck.htm
B. http://litware/owa/probe.htm
C. https://mail.litware.com/owa/healthcheck.htm
D. https://mail.litware.com/owa/probe.htm
Answer: C

NEW QUESTION: 4
You need to select a feature extraction method.
Which method should you use?
A. Mutual information
B. Spearman correlation
C. Mann-Whitney test
D. Pearson's correlation
Answer: B
Explanation:
Explanation
Spearman's rank correlation coefficient assesses how well the relationship between two variables can be described using a monotonic function.
Note: Both Spearman's and Kendall's can be formulated as special cases of a more general correlation coefficient, and they are both appropriate in this scenario.
Scenario: The MedianValue and AvgRoomsInHouse columns both hold data in numeric format. You need to select a feature selection algorithm to analyze the relationship between the two columns in more detail.
References:
https://docs.microsoft.com/en-us/azure/machine-learning/studio-module-reference/feature-selection-modules