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NEW QUESTION: 1
次のコードを参照してください。

これを実行すると、次の脆弱性のうちどれが発生しますか?
A. ページ例外
B. nullチェックがありません
C. ポインターの逆参照
D. NullPointerException
Answer: B

NEW QUESTION: 2
特徴抽出方法を選択する必要があります。
どの方法を使用する必要がありますか?
A. スピアマン相関
B. マン・ホイットニー検定
C. 相互情報
D. ピアソンの相関
Answer: A
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

NEW QUESTION: 3
An LTM device receives a response string containing "error"
Which monitor type and parameter will mark the HTTP server as down?
A. HTTP monitor and Receive Disable String "error'' .... flag is disable
B. HTTP monitor and Receive String "error'' ... flag is up
C. HTTP monitor. Receive String "down", and set the Reverse option to Yes .... flag is
D. HTTP monitor, Receive String "error", and set the Reverse option to Yes
Answer: D

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